Relevant bibliographies by topics / Task-oriented

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Task-oriented'

Author: Grafiati
Published: 4 June 2021
Last updated: 21 February 2023

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Journal articles on the topic "Task-oriented"

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Kanis, Ira B. "Task-Oriented Evaluation." Science Activities: Classroom Projects and Curriculum Ideas 29, no. 3 (September 1992): 26–30. http://dx.doi.org/10.1080/00368121.1992.10113035.

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KOSUGE, Kazuhiro, Jun ISHIKAWA, Katsuhisa FURUTA, Kazuo HARIKI, and Masaru SAKAI. "Task-Oriented Control of Single-Master Multi-Slave Manipulator System." Transactions of the Society of Instrument and Control Engineers 30, no. 7 (1994): 793–801. http://dx.doi.org/10.9746/sicetr1965.30.793.

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Wall, Victor D., Gloria J. Galanes, and SueBeth Love. "Small, Task-Oriented Groups." Small Group Behavior 18, no. 1 (February 1987): 31–55. http://dx.doi.org/10.1177/104649648701800102.

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Schweighofer, Nicolas, Younggeun Choi, Carolee Winstein, and James Gordon. "Task-Oriented Rehabilitation Robotics." American Journal of Physical Medicine & Rehabilitation 91 (November 2012): S270—S279. http://dx.doi.org/10.1097/phm.0b013e31826bcd42.

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Wang, Shouhong. "Object-oriented task analysis." Information & Management 29, no. 6 (December 1995): 331–41. http://dx.doi.org/10.1016/0378-7206(95)00036-x.

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Rossi, Carol A., and Thomas S. Tullis. "A TASK-ORIENTED PROTOTYPING TOOL." ACM SIGCHI Bulletin 19, no. 3 (January 1988): 75–77. http://dx.doi.org/10.1145/49108.1046357.

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GUERRERO, PABLO, JAVIER RUIZ-DEL-SOLAR, MIGUEL ROMERO, and SERGIO ANGULO. "TASK-ORIENTED PROBABILISTIC ACTIVE VISION." International Journal of Humanoid Robotics 07, no. 03 (September 2010): 451–76. http://dx.doi.org/10.1142/s0219843610002179.

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In this work, an explicitly task-oriented approach to the active vision problem is presented. The system tries to reduce the most relevant components of the uncertainty in the world model, for the task the robot is currently performing. It is task oriented in the sense that it explicitly considers a task-specific value function. As test-bed for the presented active vision approach, we selected a robot soccer attention problem: goal-covering by a goalie player. The proposed system is compared with information-based approaches. Experimental results show that it surpasses them in the tested application. We conclude that, when the goal is not the uncertainty reduction itself, the minimization of the belief entropy is not a useful optimality criterion, and that for such cases, task-oriented optimality criteria are better suited.
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Agrawal, Pankaj, and B. Pradhan. "Task-oriented maximally entangled states." Journal of Physics A: Mathematical and Theoretical 43, no. 23 (May 17, 2010): 235302. http://dx.doi.org/10.1088/1751-8113/43/23/235302.

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Pigott, M. T. "The task‐oriented lab report." Physics Teacher 25, no. 8 (November 1987): 490–91. http://dx.doi.org/10.1119/1.2342341.

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El-Khoury, Sahar, Ravin de Souza, and Aude Billard. "On computing task-oriented grasps." Robotics and Autonomous Systems 66 (April 2015): 145–58. http://dx.doi.org/10.1016/j.robot.2014.11.016.

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Dissertations / Theses on the topic "Task-oriented"

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Strickland, Paul. "Task oriented robotics." Thesis, University of Portsmouth, 1993. https://researchportal.port.ac.uk/portal/en/theses/task-oriented-robotics(2d98c551-7b7d-4dcf-ad19-23b0c5c060ee).html.

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An alternative between product dedicated automation and general purpose robots is presented. with the new approach a given robot is customised to fulfil the requirements of the manufacturing tasks to be automated, is programmed in terms of production tasks or can be truly automated. This allows exploitation of the natural relationship between production tasks and robot systems. Current construction of industrial robots relies on a one-to-one relationship between robot and controller. The perceived way forward with this constraint has been the functionally related general purpose Industrial Robot. paradoxically, industrial robots are 'bolted' to task specific environments which have fixed repertoires of materials and tools to act upon. Computer integration of these functional machines involves human interaction to constrain the general purpose robots to relatively simple production tasks. This increases the overall cost, levels of expertise required to program the robots and lead-times in reprogramming. Unquestionably these factors have led to a reluctance towards exploitation of industrial robots. The research undertaken endeavoured to provide an alternative to this method of automation. The research completed allows robots to be programmed in terms of production tasks and dissolves the necessity to specifically design a robot controller for a given robot configuration. A modular robotic framework which consists of a number of generic modules has been employed. A loosely coupled transputer computer network has been implemented to encompass task, robot coordination and robot axis levels. At task level a 'production orientated programming environment' reflects the corresponding manual production activities. Information is gathered from this environment to allow 'task related rules' to be formulated. These 'task rules' have been utilised to fully automate, allowing product specifications to be translated to machine actions. The robot coordination level translates global coordinates to joint actions. A set of closed loop inverse kinematic equations have been generalised to ensure that the robot controller is not dependent upon a given robotic structure. These generic equations are customised to the localised constraints of each modular robotic element of the robot structure. Robust axis control is utilised to decouple robot control at joint level. 'Mix-and match' hardware and software techniques have been created which facilitate customisation of a given robot axis, and in turn, the ascending levels of the system. Hardware design capitalised on new advances in compact components which allowed self contained modular robotics elements to be formed.
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Sanchis, Trilles Germán. "Building task-oriented machine translation systems." Doctoral thesis, Universitat Politècnica de València, 2012. http://hdl.handle.net/10251/17174.

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La principal meta de esta tesis es desarrollar sistemas de traduccion interactiva que presenten mayor sinergia con sus usuarios potenciales. Por ello, el objetivo es hacer los sistemas estado del arte mas ergonomicos, intuitivos y eficientes, con el fin de que el experto humano se sienta mas comodo al utilizarlos. Con este fin se presentan diferentes t�ecnicas enfocadas a mejorar la adaptabilidad y el tiempo de respuesta de los sistemas de traduccion automatica subyacentes, as�ÿ como tambien se presenta una estrategia cuya finalidad es mejorar la interaccion hombre-m�aquina. Todo ello con el proposito ultimo de rellenar el hueco existente entre el estado del arte en traduccion automatica y las herramientas que los traductores humanos tienen a su disposici�on. En lo que respecta al tiempo de respuesta de los sistemas de traducci�on autom�atica, en esta tesis se presenta una t�ecnica de poda de los par�ametros de los modelos de traducci�on actuales, cuya intuici�on est�a basada en el concepto de segmentaci�on biling¤ue, pero que termina por evolucionar hacia una estrategia de re-estimaci�on de dichos par�ametros. Utilizando esta estrategia se obtienen resultados experimentales que demuestran que es posible podar la tabla de segmentos hasta en un 97%, sin mermar por ello la calidad de las traducciones obtenidas. Adem�as, estos resultados son coherentes en diferentes pares de lenguas, lo cual evidencia que la t�ecnica que se presenta aqu�ÿ es efectiva en un entorno de traducci�on autom�atica tradicional, y por lo tanto podr�ÿa ser utilizada directamente en un escenario de post-edici�on. Sin embargo, los experimentos llevados a cabo en traducci�on interactiva son ligeramente menos convincentes, pues implican la necesidad de llegar a un compromiso entre el tiempo de respuesta y la calidad de los sufijos producidos. Por otra parte, se presentan dos t�ecnicas de adaptaci�on, con el prop�osito de mejorar la adaptabilidad de los sistemas de traducci�on autom�atica. La primera
Sanchis Trilles, G. (2012). Building task-oriented machine translation systems [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/17174
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Elliot, Mark James. "A computational model of task oriented discourse." Thesis, University of Nottingham, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.284055.

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Gutierrez, Reymundo A. (Reymundo Alejandro). "Learning task-oriented grasp heuristics from demonstration." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/113153.

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Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 79-82).
When people plan their motions for dexterous work, they implicitly consider the next likely step in the action sequence. Almost without conscious thought, we select a grasp that meets the implicit constraints related to the task to be performed. A robot tasked with dexterous manipulation should likewise aim to grasp the intended object in a way that makes the next step straightforward. In some cases, lack of consideration of these implicit constraints can result in situations in which the object cannot be manipulated in the desired manner. While recent work has begun to address task dependent constraints, they require direct specification of task constraints or rely on grasp datasets with manually defined task labels. In this thesis, we present a framework that leverages human demonstration to learn task-oriented grasp heuristics for a set of known objects in an unsupervised manner and defined a procedure to instantiate grasps from these learned models. Equating distinct motion profiles with the execution of distinct tasks, our approach leverages the motion during human demonstration in order to partition the accompanying grasp examples into tasks in an unsupervised manner through the incorporation of unsupervised motion clustering algorithms into a grasp learning pipeline. In order to evaluate the framework, a set of human demonstrations of real world manipulation tasks were collected. The framework with unsupervised task clustering produced comparable results to the semi-supervised condition. This translated to the discovery of the correct relationship between the tasks and objects, with the distributions of the resultant grasp point models following intuitive heuristic rules (e.g. handle grasps for tools). The grasps instantiated from these grasp models followed the learned heuristics, but had some limitations due to the choice of grasp model and the instantiation method utilized. Overall, this work demonstrates that the inclusion of unsupervised motion clustering techniques into a grasp learning pipeline can assist in the production of task-oriented models without the typical overhead of direct task constraint encoding or hand labeling of datasets.
by Reymundo A. Gutierrez.
M. Eng.
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Bouchacourt, Diane. "Task-oriented learning of structured probability distributions." Thesis, University of Oxford, 2017. https://ora.ox.ac.uk/objects/uuid:0665495b-afbb-483b-8bdf-cbc6ae5baeff.

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Machine learning models automatically learn from historical data to predict unseen events. Such events are often represented as complex multi-dimensional structures. In many cases there is high uncertainty in the prediction process. Research has developed probabilistic models to capture distributions of complex objects, but their learning objective is often agnostic of the evaluation loss. In this thesis, we address the aforementioned defficiency by designing probabilistic methods for structured object prediction that take into account the task at hand. First, we consider that the task at hand is explicitly known, but there is ambiguity in the prediction due to an unobserved (latent) variable. We develop a framework for latent structured output prediction that unifies existing empirical risk minimisation methods. We empirically demonstrate that for large and ambiguous latent spaces, performing prediction by minimising the uncertainty in the latent variable provides more accurate results. Empirical risk minimisation methods predict only a pointwise estimate of the output, however there can be uncertainty on the output value itself. To tackle this deficiency, we introduce a novel type of model to perform probabilistic structured output prediction. Our training objective minimises a dissimilarity coefficient between the data distribution and the model's distribution. This coefficient is defined according to a loss of choice, thereby our objective can be tailored to the task loss. We empirically demonstrate the ability of our model to capture distributions over complex objects. Finally, we tackle a setting where the task loss is implicitly expressed. Specifically, we consider the case of grouped observations. We propose a new model for learning a representation of the data that decomposes according to the semantics behind this grouping, while allowing efficient test-time inference. We experimentally demonstrate that our model learns a disentangled and controllable representation, leverages grouping information when available, and generalises to unseen observations.
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Abbott, Terence S. "Task-Oriented Display Design: Concept and Example." W&M ScholarWorks, 1989. https://scholarworks.wm.edu/etd/1539626821.

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Foix, Salmerón Sergi. "Task-oriented viewpoint planning for free-form objects." Doctoral thesis, Universitat Politècnica de Catalunya, 2016. http://hdl.handle.net/10803/396623.

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This thesis deals with active sensing and its use in real exploration tasks under both scene ambiguities and measurement uncertainties. While object modeling is the implicit objective of most of active sensing algorithms, in this work we have explored new strategies to deal with more generic and more complex tasks. Active sensing requires the ability of moving the perceptual system to gather new information. Our approach uses a robot manipulator with a 3D Time-of-Flight (ToF) camera attached to the end-effector. For a complex task, we have focused our attention on plant phenotyping. Plants are complex objects, with leaves that change their position and size along time. Valid viewpoints for a certain plant are hardly valid for a different one, even belonging to the same species. Some instruments, such as chlorophyll meters or disk sampling tools, require being precisely positioned over a particular location of the leaf. Therefore, their use requires the modeling of specific regions of interest of the plant, including also the free space needed for avoiding obstacles and approaching the leaf with tool. It is easy to observe that predefined camera trajectories are not valid here, and that usually with one single view it is very difficult to acquire all the required information. The overall objective of this thesis is to solve complex active sensing tasks by embedding their exploratory goal into a pre-estimated geometrical model, using information-gain as the fundamental guideline for the reward function. The main contributions can be divided in two groups: first, the evaluation of ToF cameras and their calibration to assess the uncertainty of the measurements (presented in Part I); and second, the proposal of a framework capable of embedding the task, modeled as free and occupied space, and that takes into account the modeled sensor's uncertainty to improve the action selection algorithm (presented in Part II). This thesis has given rise to 14 publications, including 5 indexed journals, and its results have been used in the GARNICS European project. The complete framework is based on the Next-Best-View methodology and it can be summarized in the following main steps. First, an initial view of the object (e.g., a plant) is acquired. From this initial view and given a set of candidate viewpoints, the expected gain obtained by moving the robot and acquiring the next image is computed. This computation takes into account the uncertainty from all the different pixels of the sensor, the expected information based on a predefined task model, and the possible occlusions. Once the most promising view is selected, the robot moves, takes a new image, integrates this information intothe model, and evaluates again the set of remaining views. Finally, the task terminates when enough information is gathered. In our examples, this process enables the robot to perform a measurement on top of a leaf. The key ingredient is to model the complexity of the task in a layered representation of free-occupied occupancy grid maps. This allows to naturally encode the requirements of the task, to maintain and update the belief state with the measurements performed, to simulate and compute the expected gains of all potential viewpoints, and to encode the termination condition. During this work the technology of ToF cameras has incredibly evolved. Nowadays it is very popular and ToF cameras are already embedded in some consumer devices. Although the quality of the measurements has been considerably improved, it is still not uniform in the sensor. We believe, as it has been demonstrated in various experiments in this work, that a careful modeling of the sensor's uncertainty is highly beneficial and helps to design better decision systems. In our case, it enables a more realistic computation of the information gain measure, and consequently, a better selection criterion.
Aquesta tesi aborda el tema de la percepció activa i el seu ús en tasques d'exploració en entorns reals tot considerant la ambigüitat en l'escena i la incertesa del sistema de percepció. Al contrari de la majoria d'algoritmes de percepció activa, on el modelatge d'objectes sol ser l'objectiu implícit, en aquesta tesi hem explorat noves estratègies per poder tractar tasques genèriques i de major complexitat. Tot sistema de percepció activa requereix un aparell sensorial amb la capacitat de variar els seus paràmetres de forma controlada, per poder, d'aquesta manera, recopilar nova informació per resoldre una tasca determinada. En tasques d'exploració, la posició i orientació del sensor són paràmetres claus per resoldre la tasca. En el nostre estudi hem fet ús d'un robot manipulador com a sistema de posicionament i d'una càmera de profunditat de temps de vol (ToF), adherida al seu efector final, com a sistema de percepció. Com a tasca final, ens hem concentrat en l'adquisició de mesures sobre fulles dins de l'àmbit del fenotipatge de les plantes. Les plantes son objectes molt complexos, amb fulles que canvien de textura, posició i mida al llarg del temps. Això comporta diverses dificultats. Per una banda, abans de dur a terme una mesura sobre un fulla s'ha d'explorar l'entorn i trobar una regió que ho permeti. A més a més, aquells punts de vista que han estat adequats per una determinada planta difícilment ho seran per una altra, tot i sent les dues de la mateixa espècie. Per un altra banda, en el moment de la mesura, certs instruments, tals com els mesuradors de clorofil·la o les eines d'extracció de mostres, requereixen ser posicionats amb molta precisió. És necessari, doncs, disposar d'un model detallat d'aquestes regions d'interès, i que inclogui no només l'espai ocupat sinó també el lliure. Gràcies a la modelització de l'espai lliure es pot dur a terme una bona evitació d'obstacles i un bon càlcul de la trajectòria d'aproximació de l'eina a la fulla. En aquest context, és fàcil veure que, en general, amb un sol punt de vista no n'hi ha prou per adquirir tota la informació necessària per prendre una mesura, i que l'ús de trajectòries predeterminades no garanteixen l'èxit. L'objectiu general d'aquesta tesi és resoldre tasques complexes de percepció activa mitjançant la codificació del seu objectiu d'exploració en un model geomètric prèviament estimat, fent servir el guany d'informació com a guia fonamental dins de la funció de cost. Les principals contribucions d'aquesta tesi es poden dividir en dos grups: primer, l'avaluació de les càmeres ToF i el seu calibratge per poder avaluar la incertesa de les seves mesures (presentat en la Part I); i en segon lloc, la proposta d'un sistema capaç de codificar la tasca mitjançant el modelatge de l'espai lliure i ocupat, i que té en compte la incertesa del sensor per millorar la selecció de les accions (presentat en la Part II). Aquesta tesi ha donat lloc a 14 publicacions, incloent 5 en revistes indexades, i els resultats obtinguts s'han fet servir en el projecte Europeu GARNICS. La funcionalitat del sistema complet està basada en els mètodes Next-Best-View (següent-millor-vista) i es pot desglossar en els següents passos principals. En primer lloc, s'obté una vista inicial de l'objecte (p. ex., una planta). A partir d'aquesta vista inicial i d'un conjunt de vistes candidates, s'estima, per cada una d'elles, el guany d'informació resultant, tant de moure la càmera com d'obtenir una nova mesura. És rellevant dir que aquest càlcul té en compte la incertesa de cada un dels píxels del sensor, l'estimació de la informació basada en el model de la tasca preestablerta i les possibles oclusions. Un cop seleccionada la vista més prometedora, el robot es mou a la nova posició, pren una nova imatge, integra aquesta informació en el model i torna a avaluar, un altre cop, el conjunt de punts de vista restants. Per últim, la tasca acaba en el moment que es recopila suficient informació.
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Kowtko, J. C. "The function of intonation in task-oriented dialogue." Thesis, University of Edinburgh, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.508706.

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Carletta, Jean. "Risk-taking and recovery in task-oriented dialogue." Thesis, University of Edinburgh, 1992. http://hdl.handle.net/1842/20370.

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The Principle of Parsimony states that by and large, agents try to complete tasks using as little effort as possible. This thesis demonstrates that the Principle of Parsimony operates in human task-oriented dialogue by showing the effects of Parsimony in a corpus of human dialogues about a map navigation task and by using the main points of the analysis in order to guide simulated conversations between two computer agents within the JAM system. It makes four major contributions: an analysis of 'communicative posture', or a range of choices in dialogue which can be characterised by decisions about how much effort to spend constructing one's utterances, leading to either careful or risky behaviour about different aspects of communication, an analysis of 'recovery strategies' which allow the participants to recover from failures which have been brought about due to risky postures, a heuristic model of belief which risks failing to capture the full meaning of the dialogue in favour of efficiency in a way which models human belief updating more plausibly than previous models, and a layered agent architecture which allows the simulated agents to make all of their decisions based on the Principle of Parsimony.
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Sotillo, Catherine Frances. "Phonological reduction and intelligibility in task-oriented dialogue." Thesis, University of Edinburgh, 1997. http://hdl.handle.net/1842/21544.

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This thesis explores the implications of Lindblom's theory of Hyper- and Hypo-articulation (Lindblom, 1983, 1990) for word intelligibility and the likely application of phonological reduction processes in spontaneous discourse, using data from the HCRC Map Task Corpus. Lindblom claims that variability in articulatory clarity is a reflection of speakers' assessments of their listeners' information requirements: speakers hyper-articulate when listeners require maximum acoustic input from with information from other sources. To prevent speakers from over-economising to a point of unintelligibility, hypo-articulation is governed by a constraint of lexical distinctiveness: speakers hypo-articulate only while listeners are able to distinguish the target from competing lexical items. Three main questions are addressed. First, do the informational needs of the listener affect the articulatory clarity of words produced in spontaneous conversation? A series of intelligibility experiments shows that repeated mentions of landmark names are less intelligible than their introductory mentions, independent of which speaker utters either mention, and who can see the landmark on their map. Although the results can be interpreted as supporting Lindblom's view, textual Giveness (Prince, 1981) is shown to depend upon what the speaker knows, rather than what the speaker believes her listener to know. The reduction in clarity associated with an increase in available information is not necessarily listener-oriented as the H & H theory proposes. Secondly, do phonological processes such as word-final /d/-deletion or place assimilation contribute to intelligibility loss? Although reduction processes are found to be more prevalent in tokens from spontaneous discourse than in matched citation forms, they generally fail to account for effects of repetition. An increase in assimilation is found for repeated mentions of nasal-final stimuli in pre-velar position, but no effects is found for assimilation in pre-label position, or for word-final /d/-deletion, nor is an effect found for the duration of schwa in metrically Weak initial syllables of polysyllabic words.
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Books on the topic "Task-oriented"

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Georgiou, Chryssis, and Alexander A. Shvartsman. Cooperative Task-Oriented Computing. Cham: Springer International Publishing, 2011. http://dx.doi.org/10.1007/978-3-031-02005-6.

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Baden, Mowry. Mowry Baden: Task-oriented sculptures. Toronto: Mercer Union, 1987.

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Davar, Rustom S. Creative leadership: The people-oriented task approach. New Delhi: UBS Publishers' Distributors, 1993.

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Sullivan, Anne Marie. A tool for object oriented task analysis. [s.l: The author], 1994.

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Center, Langley Research, ed. Task-oriented display design: Concept and example. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1990.

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Allister, Shvartsman Alex, ed. Cooperative task-oriented computing: Algorithms and complexity. San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA): Morgan & Claypool, 2011.

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Writing software documentation: A task-oriented approach. Boston: Allyn and Bacon, 1998.

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Barker, Thomas T. Writing software documentation: A task-oriented approach. 2nd ed. New York: Longman, 2003.

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Klose, G. Task-oriented modeling for natural language processing systems. Berlin: Technische Universität Berlin, Fachbereich 13--Informatik, 1993.

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Maryland Commission for Women. Family-Oriented Personnel Policies Task Force. Family oriented personnel policies: A task force report. Baltimore, MD (1123 N. Eutaw St., Baltimore 21201): Maryland Commission for Women, 1986.

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Book chapters on the topic "Task-oriented"

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Dieguez Castro, Jose. "Task-Oriented Distros." In Introducing Linux Distros, 345–55. Berkeley, CA: Apress, 2016. http://dx.doi.org/10.1007/978-1-4842-1392-6_16.

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Ikeuchi, Katsushi, and Martial Hebert. "Task-Oriented Vision." In Exploratory Vision, 257–77. New York, NY: Springer New York, 1996. http://dx.doi.org/10.1007/978-1-4612-3984-0_11.

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Georgiou, Chryssis, and Alexander A. Shvartsman. "Introduction." In Cooperative Task-Oriented Computing, 1–5. Cham: Springer International Publishing, 2011. http://dx.doi.org/10.1007/978-3-031-02005-6_1.

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Georgiou, Chryssis, and Alexander A. Shvartsman. "Message-Passing Algorithms." In Cooperative Task-Oriented Computing, 79–127. Cham: Springer International Publishing, 2011. http://dx.doi.org/10.1007/978-3-031-02005-6_5.

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Bourguin, Grégory, Arnaud Lewandowski, and Jean-Claude Tarby. "Defining Task Oriented Components." In Lecture Notes in Computer Science, 170–83. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-77222-4_14.

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Jonsdottir, Johanna, and Davide Cattaneo. "Task-oriented Biofeedback in Neurorehabilitation." In The Handbook of Behavioral Medicine, 807–24. Oxford, UK: John Wiley & Sons, Ltd, 2014. http://dx.doi.org/10.1002/9781118453940.ch38.

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Jafer, Yasser. "Task Oriented Privacy (TOP) Technologies." In Advances in Artificial Intelligence, 375–80. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06483-3_41.

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Yang, Tzu-I., Chorng-Shiuh Koong, and Chien-Chao Tseng. "The Task-Oriented Circulation Planning." In Lecture Notes in Electrical Engineering, 157–61. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-40861-8_24.

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Wilson, Roy. "Modeling Task-Oriented Discussion Groups." In User Modeling 2003, 248–57. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-44963-9_33.

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Venkataraman, Subramanian T., and Damian M. Lyons. "A Task-Oriented Dextrous Manipulation Architecture." In Dextrous Robot Hands, 87–116. New York, NY: Springer New York, 1990. http://dx.doi.org/10.1007/978-1-4613-8974-3_5.

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Conference papers on the topic "Task-oriented"

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Priestley, Michael. "Task oriented or task disoriented." In the 16th annual international conference. New York, New York, USA: ACM Press, 1998. http://dx.doi.org/10.1145/296336.296378.

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Trapani, Stefano, and Marina Indri. "Task modeling for task-oriented robot programming." In 2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE, 2017. http://dx.doi.org/10.1109/etfa.2017.8247650.

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Seaton, Paul, and Tom Stewart. "Evolving task oriented systems." In the SIGCHI conference. New York, New York, USA: ACM Press, 1992. http://dx.doi.org/10.1145/142750.142900.

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Bauer, Alexander, and Yvonne Fischer. "Task-oriented situation recognition." In SPIE Defense, Security, and Sensing, edited by John F. Buford, Gabriel Jakobson, John Erickson, William J. Tolone, and William Ribarsky. SPIE, 2010. http://dx.doi.org/10.1117/12.849646.

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Verma, Manisha, and Emine Yilmaz. "Category Oriented Task Extraction." In CHIIR '16: Conference on Human Information Interaction and Retrieval. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2854946.2854997.

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Xiao, Yang, Kevin Irick, Jack Sampson, Vijaykrishnan Narayanan, and Chuanjun Zhang. "A task-oriented vision system." In the 24th edition of the great lakes symposium. New York, New York, USA: ACM Press, 2014. http://dx.doi.org/10.1145/2591513.2591602.

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Allué, Alberto, Antonio López, José Carlos Ciria, Eladio Domínguez, Ángel Francés, and María A. Zapata. "The task-oriented occurrence pattern." In EuroPLoP '16: 21st European Conference on Pattern Languages of Programs. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/3011784.3011790.

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Heeman, Peter A., Fan Yang, and Susan E. Strayer. "Control in task-oriented dialogues." In 8th European Conference on Speech Communication and Technology (Eurospeech 2003). ISCA: ISCA, 2003. http://dx.doi.org/10.21437/eurospeech.2003-101.

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Ferreira, Nivan, Danyel Fisher, and Arnd Christian Konig. "Sample-oriented task-driven visualizations." In CHI '14: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2014. http://dx.doi.org/10.1145/2556288.2557131.

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Lv, Chenxu, Hengtong Lu, Shuyu Lei, Huixing Jiang, Wei Wu, Caixia Yuan, and Xiaojie Wang. "Task-Oriented Clustering for Dialogues." In Findings of the Association for Computational Linguistics: EMNLP 2021. Stroudsburg, PA, USA: Association for Computational Linguistics, 2021. http://dx.doi.org/10.18653/v1/2021.findings-emnlp.368.

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Reports on the topic "Task-oriented"

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Bond, R. E. Ground/Air Task Oriented Radar (G/ATOR). Fort Belvoir, VA: Defense Technical Information Center, December 2013. http://dx.doi.org/10.21236/ada613516.

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Traum, David R., and Elizabeth A. Hinkelman. Conversation Acts in Task-Oriented Spoken Dialogue. Fort Belvoir, VA: Defense Technical Information Center, June 1992. http://dx.doi.org/10.21236/ada256368.

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Karlovich, John. Ground/Air Task Oriented Radar (G/ATOR). Fort Belvoir, VA: Defense Technical Information Center, November 2015. http://dx.doi.org/10.21236/ad1019433.

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Filkov, Vladimir. Structure and Function of Task-Oriented Social Networks. Fort Belvoir, VA: Defense Technical Information Center, January 2015. http://dx.doi.org/10.21236/ada614749.

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Fong, Elizabeth N. Proceedings of the Object-Oriented Database Task Group workshop:. Gaithersburg, MD: National Institute of Standards and Technology, 1991. http://dx.doi.org/10.6028/nist.ir.4488.

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Fong, Elizabeth N., and Craig W. Thompson. Proceedings of the Object-Oriented Database Task Group workshop:. Gaithersburg, MD: National Institute of Standards and Technology, 1991. http://dx.doi.org/10.6028/nist.ir.4503.

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Martin, Alec. Expanding Functional Object Oriented Network and Searching Task Trees. RPAL, December 2018. http://dx.doi.org/10.32555/2018.ir.005.

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Warm, Ronnie, J. T. Roth, and J. A. Fitzpatrick. Task Evaluation Form: Development Procedures for Non-Equipment-Oriented Tasks. Fort Belvoir, VA: Defense Technical Information Center, May 1986. http://dx.doi.org/10.21236/ada167411.

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Haney, Richard H., Song J. Park, and Dale R. Shires. Building Task-Oriented Applications: An Introduction to the Legion Programming Paradigm. Fort Belvoir, VA: Defense Technical Information Center, February 2015. http://dx.doi.org/10.21236/ada613693.

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Warm, Ronnie, and J. T. Roth. Task Evaluation Form: Development Procedures for Maintenance and Equipment-Oriented Tasks. Fort Belvoir, VA: Defense Technical Information Center, May 1986. http://dx.doi.org/10.21236/ada167597.

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