Relevant bibliographies by topics / Functional Pruning

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Functional Pruning'

Author: Grafiati
Published: 2 November 2024
Last updated: 31 July 2025

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Journal articles on the topic "Functional Pruning"

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SHAMIR, N., D. SAAD, and E. MAROM. "NEURAL NET PRUNING BASED ON FUNCTIONAL BEHAVIOR OF NEURONS." International Journal of Neural Systems 04, no. 02 (1993): 143–58. http://dx.doi.org/10.1142/s0129065793000134.

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This paper proposes a new pruning method based on merging neurons with similar functional behavior which is defined by the internal representations of each neuron for the entire training set. Classification of neurons by their functional behavior with respect to the input vectors provides a powerful tool for pruning neurons and connections, thus reducing the network complexity and increasing its generalization capability. The most remarkable property of this pruning scheme is its ability to preserve net functionality by transferring the role of every removed neuron to the most fitted neuron of
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Elston, G. N., T. Oga, and I. Fujita. "Spinogenesis and Pruning Scales across Functional Hierarchies." Journal of Neuroscience 29, no. 10 (2009): 3271–75. http://dx.doi.org/10.1523/jneurosci.5216-08.2009.

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Iwasaki, Hideya, Takeshi Morimoto, and Yasunao Takano. "Pruning with improving sequences in lazy functional programs." Higher-Order and Symbolic Computation 24, no. 4 (2011): 281–309. http://dx.doi.org/10.1007/s10990-012-9086-3.

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Lugaresi, Adriana, Cristiano André Steffens, Angélica Schmitz Heinzen, et al. "The influence of the summer pruning on ‘Fuji’ apples storage under controlled atmosphere." Acta Scientiarum. Agronomy 46, no. 1 (2023): e63557. http://dx.doi.org/10.4025/actasciagron.v46i1.63557.

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This study aimed to evaluate the effect of the summer pruning time in ‘Fuji’ apple trees on the quality of fruit at harvest and after storage in controlled atmosphere with extremely low O2 (CA-ELO) (0.5 kPa O2). The treatments evaluated were summer pruning in December, January, and February, in addition to a control treatment (without summer pruning). The experiment was carried out in the 2018/2019 and 2019/2020 growing seasons. The fruit were evaluated at harvest and after eight months of CA-ELO (0.5 kPa O2 + <0.5 kPa CO2/1.5 ± 0.2°C/92 ± 2% RH) storage, at chamber opening, and after 7 day
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Zhang, Qi, Ying Zhang, Pengyao Miao, et al. "Effects of Pruning on Tea Tree Growth, Soil Enzyme Activity and Microbial Diversity." Agronomy 13, no. 5 (2023): 1214. http://dx.doi.org/10.3390/agronomy13051214.

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In order to investigate the effect of pruning on the soil environment in which tea trees grow and the growth of tea trees, this study used Wuyi Meizhan (Camellia sinensis) as a research object and measured its growth indexes, soil physicochemical indexes, soil enzyme activity and microbial functional diversity to analyze the effects of pruning treatments on the growth of tea trees, soil enzyme activity and soil microbial functional diversity and the correlation between them. The results of the analysis of tea tree growth indexes showed that the hundred-bud weight, leaf area and yield in the pr
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Li, J., J. Liu, H. Toivonen, and J. Yong. "Effective Pruning for the Discovery of Conditional Functional Dependencies." Computer Journal 56, no. 3 (2012): 378–92. http://dx.doi.org/10.1093/comjnl/bxs082.

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Low, Lawrence K., and Hwai-Jong Cheng. "Axon pruning: an essential step underlying the developmental plasticity of neuronal connections." Philosophical Transactions of the Royal Society B: Biological Sciences 361, no. 1473 (2006): 1531–44. http://dx.doi.org/10.1098/rstb.2006.1883.

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Regressive events play a key role in modifying neural connectivity in early development. An important regressive event is the pruning of neuronal processes. Pruning is a strategy often used to selectively remove exuberant neuronal branches and connections in the immature nervous system to ensure the proper formation of functional circuitry. In the following review, we discuss our present understanding of the cellular and molecular mechanisms that regulate the pruning of axons during neuronal development as well as in neurological diseases. The evidence suggests that there are several similarit
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Leporini, Mariarosaria, Rosa Tundis, Vincenzo Sicari, and Monica Rosa Loizzo. "Citrus species: Modern functional food and nutraceutical-based product ingredient." Italian Journal of Food Science 33, no. 2 (2021): 63–107. http://dx.doi.org/10.15586/ijfs.v33i2.2009.

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Citrus is the most cultivated fruit crop in the world and occupies a place of considerable importance in the country’s economy. Almost 33% of the citrus fruits are processed for juice production; however, a great amount of wastes, including peels, segment membranes, and seeds are also produced. Indeed, citrus fruits consist of 45% juice, 26% pulp, 27% peels, and 2% seeds. Pruning, a cultural practice involving the removal of tree branches and limbs, was applied to improve fruit’s quality. A large amount of leaves are produced through pruning. These agri-food matrices contain a wide range of bi
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Mäkelä, Annikki. "A Carbon Balance Model of Growth and Self-Pruning in Trees Based on Structural Relationships." Forest Science 43, no. 1 (1997): 7–24. http://dx.doi.org/10.1093/forestscience/43.1.7.

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Abstract A tree growth model is formulated based on structural relationships in a carbon balance framework. Three relationships are applied: (1) an allometric relationship between crown surface area and foliage area, (2) the principle of functional balance, and (3) the pipe-model theory. These assumptions lead to a model where the sizes of the functional parts of the tree are derivable from foliage weight, except for the pruning height of the crown. This is determined by defining a "self-pruning coefficient," which controls the allocation of growth between height growth and foliage growth. The
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Sun, Xiaochuan, Yu Wang, Mingxiang Hao, Yingqi Li, and Tianyu Huang. "Reservoir structure optimization of echo state networks: A detrended multiple cross-correlation pruning perspective." Journal of Intelligent & Fuzzy Systems 46, no. 5-6 (2024): 11263–75. http://dx.doi.org/10.3233/jifs-233605.

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Reservoir structure optimization of echo state networks (ESN) is an important enabler for improving network performance. In this regard, pruning provides an effective means to optimize reservoir structure by removing redundant components in the network. Existing studies achieve reservoir pruning by removing insignificant neuronal connections. However, such processing causes the optimized neurons to still remain in the reservoir and thus hinder network inference by participating in computations, leading to suboptimal utilization of pruning benefits by the network. To solve this problem, this pa
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Dissertations / Theses on the topic "Functional Pruning"

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Shabarshova, Liudmila. "Geometric functional pruning for change point detection in low-dimensional exponential family models." Electronic Thesis or Diss., université Paris-Saclay, 2024. http://www.theses.fr/2024UPASM026.

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La détection de ruptures est un problème courant d'apprentissage non supervisé dans de nombreux domaines d'application, notamment en biologie, en génomique, en surveillance de réseaux de capteurs et en cybersécurité. En général, soit une détection de ruptures a posteriori, c'est-à-dire hors ligne, soit une détection de ruptures séquentielle, c'est-à-dire en ligne, est envisagée.Des méthodes standard de programmation dynamique pour la détection de ruptures ont été proposées pour optimiser le logarithme du rapport de vraisemblance. Ces méthodes sont exactes et récupèrent des segmentations optima
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Prewitt, Sarah F. "Phylogenetic and Functional Characterization of Cotton (Gossypium hirsutum) CENTRORADIALIS/TERMINAL FLOWER1/SELF-PRUNING Genes." Thesis, University of North Texas, 2017. https://digital.library.unt.edu/ark:/67531/metadc1062895/.

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Plant architecture is an important agronomic trait driven by meristematic activities. Indeterminate meristems set repeating phytomers while determinate meristems produce terminal structures. The centroradialis/terminal flower1/self pruning (CETS) gene family modulates architecture by controlling determinate and indeterminate growth. Cotton (G. hirsutum) is naturally a photoperiodic perennial cultivated as a day-neutral annual. Management of this fiber crop is complicated by continued vegetative growth and asynchronous fruit set. Here, cotton CETS genes are phylogenetically and functionall
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Palm, Emanuel. "Implications and Impact of Blockchain Transaction Pruning." Thesis, Luleå tekniska universitet, Institutionen för system- och rymdteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-64986.

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This thesis presents an extension to Hyperledger Fabric, a private blockchain system, allowing historic transactions to be pruned without peer coordination. The feature is facilitated via pruning predicate functions, provided along any smart contracts a given system is desired to host. An evaluation of the extension demonstrates its impact, in terms of memory saved, for a specific asset delivery use case. It is concluded that the gains of pruning historic transactions from blockchain systems could yield significantly reduced storage requirements for some categories of applications, especially
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Kučírek, Tomáš. "Umělá inteligence pro hraní her." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2012. http://www.nusl.cz/ntk/nusl-412861.

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Arimaa is a strategic board game for two players. It was designed to be simple for human players and difficult for computers. The aim of this thesis is to design and implement the program with features of the artificial intelligence, which would be able to defeat human players. The implementation was realized in the three key parts: evaluation position, generation of moves and search. The program was run on the game server and defeated many bots as well as human players.
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Kubisz, Jan. "Využití umělé inteligence k monitorování stavu obráběcího stroje." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2020. http://www.nusl.cz/ntk/nusl-417752.

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Diploma thesis focus on creation of neural network’s internal structure with goal of creation Artificial Neural Network capable of machine state monitoring and predicting its remaining usefull life. Main goal is creation of algorithm’s and library for design and learning of Artificial Neural Network, and deeper understanding of the problematics in the process, then by utilising existing libraries. Selected method was forward-propagation network with multi-layered perceptron architecture, and backpropagation learning. Achieved results was, that the network was able to determine parts state from
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Book chapters on the topic "Functional Pruning"

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Qiu, Shoumeng, Yuzhang Gu, and Xiaolin Zhang. "BFRIFP: Brain Functional Reorganization Inspired Filter Pruning." In Lecture Notes in Computer Science. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86380-7_2.

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Qiu, Shoumeng, Yuzhang Gu, and Xiaolin Zhang. "Correction to: BFRIFP: Brain Functional Reorganization Inspired Filter Pruning." In Lecture Notes in Computer Science. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86380-7_57.

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Zouggar, Souad Taleb, and Abdelkader Adla. "A New Function for Ensemble Pruning." In Decision Support Systems VIII: Sustainable Data-Driven and Evidence-Based Decision Support. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-90315-6_15.

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Sha, Chaofeng, Keqiang Wang, Xiaoling Wang, and Aoying Zhou. "Ensemble Pruning: A Submodular Function Maximization Perspective." In Database Systems for Advanced Applications. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05813-9_1.

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Shi, Daming, Junbin Gao, Daniel So Yeung, and Fei Chen. "Radial Basis Function Network Pruning by Sensitivity Analysis." In Advances in Artificial Intelligence. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24840-8_27.

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Sutton-Charani, Nicolas, Sébastien Destercke, and Thierry Denœux. "Training and Evaluating Classifiers from Evidential Data: Application to E2M Decision Tree Pruning." In Belief Functions: Theory and Applications. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11191-9_10.

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Borera, Eddy C., Larry D. Pyeatt, Arisoa S. Randrianasolo, and Madhi Naser-Moghadasi. "POMDP Filter: Pruning POMDP Value Functions with the Kaczmarz Iterative Method." In Advances in Artificial Intelligence. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16761-4_23.

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Hoque, Md Tamjidul, Madhu Chetty, and Laurence S. Dooley. "Efficient Computation of Fitness Function by Pruning in Hydrophobic-Hydrophilic Model." In Biological and Medical Data Analysis. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11573067_35.

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Parkinson, Randall W., Monica Perez-Bedmar, and Jenna A. Santangelo. "Red mangrove (Rhizophora mangle L.) litter fall response to selective pruning (Indian River Lagoon, Florida, U.S.A.)." In Diversity and Function in Mangrove Ecosystems. Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-011-4078-2_7.

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Li, Jing, Bao-Liang Lu, and Michinori Ichikawa. "An Algorithm for Pruning Redundant Modules in Min-Max Modular Network with GZC Function." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11539087_35.

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Conference papers on the topic "Functional Pruning"

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Thaploo, Shravan, Derrick Lin, Gregory J. Brewer, An H. Do, and Zoran Nenadic. "Pruning functional connections in human induced pluripotent stem cell derived neural networks." In 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2024. https://doi.org/10.1109/embc53108.2024.10782718.

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Hinrichs, Reemt, and Jörn Ostermann. "Pruning-Aware Loss Functions for STOI-Optimized Pruned Recurrent Autoencoders for the Compression of the Stimulation Patterns of Cochlear Implants at Zero Delay." In 2024 58th Asilomar Conference on Signals, Systems, and Computers. IEEE, 2024. https://doi.org/10.1109/ieeeconf60004.2024.10943066.

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Yang, Dun-An, Jing-Jia Liou, and Harry H. Chen. "Transient Fault Pruning for Effective Candidate Reduction in Functional Debugging." In 2022 IEEE International Test Conference (ITC). IEEE, 2022. http://dx.doi.org/10.1109/itc50671.2022.00014.

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Li, Qingwei, Wenyong Zhang, Zhiwen Shen, and He Qifeng. "Photovoltaic power output forecasting based on similar day analysis and sensitive pruning extreme learning machine." In 2022 International Conference on Optoelectronic Information and Functional Materials (OIFM 2022), edited by Chao Zuo. SPIE, 2022. http://dx.doi.org/10.1117/12.2638674.

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Cheng, Feng, and Zhe Yang. "New Pruning Methods for Mining Minimal Functional Dependencies from Large-Scale Distributed Data." In 2018 Sixth International Conference on Advanced Cloud and Big Data (CBD). IEEE, 2018. http://dx.doi.org/10.1109/cbd.2018.00055.

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Mandros, Panagiotis, Mario Boley, and Jilles Vreeken. "Discovering Reliable Dependencies from Data: Hardness and Improved Algorithms." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/864.

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The reliable fraction of information is an attractive score for quantifying (functional) dependencies in high-dimensional data. In this paper, we systematically explore the algorithmic implications of using this measure for optimization. We show that the problem is NP-hard, justifying worst-case exponential-time as well as heuristic search methods. We then substantially improve the practical performance for both optimization styles by deriving a novel admissible bounding function that has an unbounded potential for additional pruning over the previously proposed one. Finally, we empirically in
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Ghosh, Gourhari, Ajay Sidpara, and P. P. Bandyopadhyay. "Characterization of Nanofinished WC-Co Coating Using Advanced 3D Surface Texture Parameters." In ASME 2018 13th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/msec2018-6592.

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WC-Co coatings are extensively used in abrasion, sliding, and erosion resistance applications for its favourable mechanical properties. Nanofinishing of WC-Co coating is required for aircraft landing gear cylinder and diesel engine cylinder. Characterisation of surface topography becomes an important aspect in tribological applications as it has significant effect on the functional performance of the surfaces. In this present study, the motif analysis with 5% wolf pruning is applied to identify the significant hills for pattern reorganization of the surface texture generated by different finis
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Liu, Yuchen, S. Y. Kung, and David Wentzlaff. "Evolving transferable neural pruning functions." In GECCO '22: Genetic and Evolutionary Computation Conference. ACM, 2022. http://dx.doi.org/10.1145/3512290.3528694.

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Rodriguez Lizana, Antonio, Maria Joao Pereira, Alzira Ramos, Manuel Moreno Garcia, and Manuel Ribeiro. "STUDY OF THE UNCERTAINTY OF THE AMOUNT OF PRUNING IN THE OLIVE GROVE USING GEOSTATISTICAL ALGORITHMS." In 22nd International Multidisciplinary Scientific GeoConference 2022. STEF92 Technology, 2022. http://dx.doi.org/10.5593/sgem2022v/3.2/s14.50.

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Olive pruning mulch modifies the physical, chemical and biological properties of the soil. They are an efficient soil and water conservation system, while simultaneously improving the organic matter content of the soil. In any case, their effect on soil properties is a function of the densities provided. In any agricultural field, there can be significant variations in plant size, which can affect the amount of pruning obtained. In this research, a spatial sampling of pruning amount collected in olive trees (n=59) in a 13.1-ha traditional olive grove located in Cordoba (Spain), was conducted t
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Oliveira, Saulo A. F., Ajalmar R. Rocha Neto, and João P. P. Gomes. "On Model Complexity Reduction in Instance-Based Learners." In Anais Estendidos da Conference on Graphics, Patterns and Images. Sociedade Brasileira de Computação - SBC, 2022. http://dx.doi.org/10.5753/sibgrapi.est.2022.23253.

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Instance-based learners habitually adopt instance selection techniques to reduce complexity and avoid overfitting. Such learners’ most recent and well-known formulations seek to impose some sparsity in their training and prediction structure alongside regularization to meet such a result. Due to the variety of such instance-based learners, we will draw attention to the Least-Squares Support Vector Machines and Minimal Learning Machines because they embody additional information beyond the stored instances to perform predictions. Later, this thesis proposes variants constraining candidate solut
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