Search results for "Incremental Learning"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
4	Shengxiang Yang, Xin Yao	Experimental study on population-based incremental learning algorithms for dynamic optimization problems.	Soft Comput.	2005	DBLP DOI BibTeX RDF	Population-based incremental learning, Dual population-based incremental learning, Central probability vector, Exclusive-or operator, Genetic algorithm, Dynamic optimization problem
3	Koichiro Yamauchi	Optimal incremental learning under covariate shift.	Memetic Computing	2009	DBLP DOI BibTeX RDF	Generalization capabilities, Student’s-t distribution, Model selection, Incremental learning, Radial basis function neural network (RBFNN), Covariate shift
3	Fernanda L. Minku, Hirotaka Inoue, Xin Yao	Negative correlation in incremental learning.	Natural Computing	2009	DBLP DOI BibTeX RDF	Self-generating neural tree, Self-organising neural grove, Classification, Incremental learning, Multi-layer perceptrons, Neural network ensembles, Negative correlation learning
3	Tomas Reiff, Peter Sincák	Towards Intelligent Systems with Incremental Learning Ability.	Towards Intelligent Engineering and Information Technology	2009	DBLP DOI BibTeX RDF	universal incremental learning system, fusion of knowledge, evolutionary systems, neural networks, pattern recognition, Agents, knowledge, fuzzy systems
3	Jianjun Liu, Shengping Xia, Weidong Hu, Wenxian Yu	Weights Updated Voting for Ensemble of Neural Networks Based Incremental Learning.	ISNN	2009	DBLP DOI BibTeX RDF	Neural networks, Machine learning, Incremental learning, Neural network ensemble
3	Yi Hong, Sam Kwong, Hui Xiong, Qingsheng Ren	Data clustering using virtual population based incremental learning algorithm with similarity matrix encoding strategy.	GECCO	2008	DBLP DOI BibTeX RDF	similarity matrix encoding strategy, virtual population based incremental learning algorithm, data clustering
3	Tadahiro Oyama, Stephen Karungaru, Satoru Tsuge, Yasue Mitsukura, Minoru Fukumi	Incremental Learning Method of Simple-PCA.	KES	2008	DBLP DOI BibTeX RDF	Simple-PCA, Incremental Simple-PCA, face recognition, PCA, Incremental learning, Incremental PCA
3	Mario Rosario Guarracino, Salvatore Cuciniello, Davide Feminiano	Incremental Learning and Decremented Characterization of Gene Expression Data Analysis.	CBMS	2008	DBLP DOI BibTeX RDF	Feature selection, incremental learning, binary classification
3	Dun Liu, Pei Hu, Chaozhe Jiang	The Incremental Learning Methodology of VPRS Based on Complete Information System.	RSKT	2008	DBLP DOI BibTeX RDF	VPRS, Coverage, Accuracy, Incremental learning
3	Koichiro Yamauchi	Covariate Shift and Incremental Learning.	ICONIP	2008	DBLP DOI BibTeX RDF	Student’s-t distribution, Incremental Learning, Radial Basis Function Neural Network (RBFNN), Generalization error, Covariate shift
3	Koichiro Yamauchi, Masayoshi Sato	Incremental Learning of Spatio-temporal Patterns with Model Selection.	ICANN	2007	DBLP DOI BibTeX RDF	RBF, model selection, incremental learning, spatio-temporal patterns
3	Wenjian Wang	An Incremental Learning Strategy for Support Vector Regression.	Neural Processing Letters	2005	DBLP DOI BibTeX RDF	kernel selection, support vector machine, regression, incremental learning
3	Shengxiang Yang	Population-based incremental learning with memory scheme for changing environments.	GECCO	2005	DBLP DOI BibTeX RDF	memory scheme, multi-population scheme, population-based incremental learning, dynamic optimization problem
3	Jun Wu, Dayong Ding, Xian-Sheng Hua, Bo Zhang	Tracking concept drifting with an online-optimized incremental learning framework.	Multimedia Information Retrieval	2005	DBLP DOI BibTeX RDF	TREC video retrieval evaluation, gaussian mixture model, incremental learning, concept drifting, video content analysis
3	T. N. Nagabhushan, S. K. Padma	Adaptive Learning in Incremental Learning RBF Networks.	ICONIP	2004	DBLP DOI BibTeX RDF	Constructive learning, Neural networks, Incremental Learning, RBF networks, Adaptive learning
3	Yunming Ye, Fanyuan Ma, Yiming Lu, Matthew Chiu, Joshua Zhexue Huang	iSurfer: A Focused Web Crawler Based on Incremental Learning from Positive Samples.	APWeb	2004	DBLP DOI BibTeX RDF	Positive Sample Based Learning, Incremental Learning, Web Page Classification, Link Prediction, Focused Crawler
3	Jun Wu, Xian-Sheng Hua, HongJiang Zhang, Bo Zhang	An online-optimized incremental learning framework for video semantic classification.	ACM Multimedia	2004	DBLP DOI BibTeX RDF	video semantic classification, video analysis, incremental learning, concept drifting
3	Katsuhiko Nakamura, Masashi Matsumoto	Incremental Learning of Context Free Grammars.	ICGI	2002	DBLP DOI BibTeX RDF	inductive CYK algorithm, unambiguous grammar, incremental learning, context free language, iterative deepening
3	César Ferri, José Hernández-Orallo, M. José Ramírez-Quintana	Incremental Learning of Functional Logic Programs.	FLOPS	2001	DBLP DOI BibTeX RDF	Inductive functional logic programming (IFLP), incremental learning, theory revision, inductive logic programming (ILP)
3	Arkadiusz Wojna	Constraint Based Incremental Learning of Classification Rules.	Rough Sets and Current Trends in Computing	2000	DBLP DOI BibTeX RDF	machine learning, rough sets, incremental learning, decision algorithms
3	Pabitra Mitra, C. A. Murthy, Sankar K. Pal	Data Condensation in Large Databases by Incremental Learning with Support Vector Machines.	ICPR	2000	DBLP DOI BibTeX RDF	Data Condensation, Data Mining, Support Vector Machines, Active Learning, Incremental Learning
2	Bassem S. Rabil, Robert Sabourin, Eric Granger	Intelligent Watermarking with Multi-objective Population Based Incremental Learning.	IIH-MSP	2010	DBLP DOI BibTeX RDF	intelligent watermarking, incremental learning, multi-objective
2	Stephan Kirstein, Alexander Denecke, Stephan Hasler, Heiko Wersing, Horst-Michael Gross, Edgar Körner	A vision architecture for unconstrained and incremental learning of multiple categories.	Memetic Computing	2009	DBLP DOI BibTeX RDF	Real-time vision system, Category learning, Hand-held objects, Vector quantization, Life-long learning
2	Michael D. Muhlbaier, Apostolos Topalis, Robi Polikar	Learn++.NC: Combining Ensemble of Classifiers With Dynamically Weighted Consult-and-Vote for Efficient Incremental Learning of New Classes.	IEEE Transactions on Neural Networks	2009	DBLP DOI BibTeX RDF
2	Rong-Lei Sun	Conflict-Free Incremental Learning.	ICIC	2009	DBLP DOI BibTeX RDF	Incremental induction, Machine learning, Artificial intelligence, Boolean algebra
2	Abdullah Almaksour, Éric Anquetil	Fast Incremental Learning Strategy Driven by Confusion Reject for Online Handwriting Recognition.	ICDAR	2009	DBLP DOI BibTeX RDF
2	Ye Xu, Shen Furao, Osamu Hasegawa, Jinxi Zhao	An Online Incremental Learning Vector Quantization.	PAKDD	2009	DBLP DOI BibTeX RDF
2	Wataru Takano, Yoshihiko Nakamura	Incremental learning of integrated semiotics based on linguistic and behavioral symbols.	IROS	2009	DBLP DOI BibTeX RDF
2	Yoshitsugu Kakemoto, Shinichi Nakasuka	Dynamics of Incremental Learning by VSF-Network.	ICANN	2009	DBLP DOI BibTeX RDF	Chaos neural network, Knowledge acquisition, Complex system, Nonlinear dynamics
2	Ryan Elwell, Robi Polikar	Incremental Learning of Variable Rate Concept Drift.	MCS	2009	DBLP DOI BibTeX RDF	nonstationary environment, Learn?+?+?.NSE, concept drift
2	Hu Wu, Yongji Wang	Incremental Learning of Triadic PLSA for Collaborative Filtering.	AMT	2009	DBLP DOI BibTeX RDF
2	Hiroshi Dozono, Shigeomi Hara, Shinsuke Ito, Masanori Nakakuni	Application of Supervised Pareto Learning Self Organizing Maps and Its Incremental Learning.	WSOM	2009	DBLP DOI BibTeX RDF
2	Wael Emara, Mehmed M. Kantardzic	The locality of RBF-SVM for incremental learning.	CIDM	2009	DBLP DOI BibTeX RDF
2	Wei-Yi Yu, Hahn-Ming Lee	An Incremental-Learning Method for Supervised Anomaly Detection by Cascading Service Classifier and ITI Decision Tree Methods.	PAISI	2009	DBLP DOI BibTeX RDF	anomaly detection system (ADS), Kohonens’ self-organizing maps (SOM), ITI (incremental tree inducer), KDD’99, K-Means clustering
2	Yicheng Song, Yongdong Zhang, Xu Zhang, Juan Cao, Jintao Li	Google challenge: incremental-learning for web video categorization on robust semantic feature space.	ACM Multimedia	2009	DBLP DOI BibTeX RDF	n-ISVM, web video categorization, wikipedia propagation
2	Heiko Hoffmann, Stefan Schaal, Sethu Vijayakumar	Local Dimensionality Reduction for Non-Parametric Regression.	Neural Processing Letters	2009	DBLP DOI BibTeX RDF	Locally-weighted regression, Principal component regression, Reduced-rank regression, Principal component analysis, Dimensionality reduction, Correlation, Incremental learning, Factor analysis, Kernel function, Partial least squares
2	Seiichi Ozawa, Shaoning Pang, Nikola K. Kasabov	Incremental Learning of Chunk Data for Online Pattern Classification Systems.	IEEE Transactions on Neural Networks	2008	DBLP DOI BibTeX RDF
2	Shengxiang Yang, Xin Yao	Population-Based Incremental Learning With Associative Memory for Dynamic Environments.	IEEE Trans. Evolutionary Computation	2008	DBLP DOI BibTeX RDF
2	Edwin Lughofer	FLEXFIS: A Robust Incremental Learning Approach for Evolving Takagi-Sugeno Fuzzy Models.	IEEE T. Fuzzy Systems	2008	DBLP DOI BibTeX RDF
2	Matthew T. Karnick, Michael Muhlbaier, Robi Polikar	Incremental learning in non-stationary environments with concept drift using a multiple classifier based approach.	ICPR	2008	DBLP DOI BibTeX RDF
2	Dwi Sianto Mansjur, Biing-Hwang Juang	Incremental learning of mixture models for simultaneous estimation of class distribution and inter-class decision boundaries.	ICPR	2008	DBLP DOI BibTeX RDF
2	Toshinori Deguchi, Keisuke Matsuno, Naohiro Ishii	On Capacity of Memory in Chaotic Neural Networks with Incremental Learning.	KES	2008	DBLP DOI BibTeX RDF
2	Stephan Kirstein, Heiko Wersing, Horst-Michael Gross, Edgar Körner	An Integrated System for Incremental Learning of Multiple Visual Categories.	ICONIP	2008	DBLP DOI BibTeX RDF
2	Abraham Prieto, Francisco Bellas, Richard J. Duro, Fernando López-Peña	An Incremental Learning Algorithm for Optimizing High-Dimensional ANN-Based Classification Systems.	ICONIP	2008	DBLP DOI BibTeX RDF
2	Yusuke Sugano, Yasuyuki Matsushita, Yoichi Sato, Hideki Koike	An Incremental Learning Method for Unconstrained Gaze Estimation.	ECCV	2008	DBLP DOI BibTeX RDF
2	Jacques M. Bahi, Sylvain Contassot-Vivier, Marc Sauget, Aurélien Vasseur	A Parallel Incremental Learning Algorithm for Neural Networks with Fault Tolerance.	VECPAR	2008	DBLP DOI BibTeX RDF	Neural Networks, Parallelism, Learning algorithms
2	Yoshiaki Kurosawa	Incremental learning for feature extraction filter mask used in similar pattern classification.	IJCNN	2008	DBLP DOI BibTeX RDF
2	Eric Granger, Jean-François Connolly, Robert Sabourin	A comparison of fuzzy ARTMAP and Gaussian ARTMAP neural networks for incremental learning.	IJCNN	2008	DBLP DOI BibTeX RDF
2	Minlong Lin, Ke Tang, Xin Yao	Selective negative correlation learning algorithm for incremental learning.	IJCNN	2008	DBLP DOI BibTeX RDF
2	Jean-François Connolly, Eric Granger, Robert Sabourin	Supervised Incremental Learning with the Fuzzy ARTMAP Neural Network.	ANNPR	2008	DBLP DOI BibTeX RDF
2	Junjie Wu, Hui Xiong, Jian Chen	SAIL: summation-based incremental learning for information-theoretic clustering.	KDD	2008	DBLP DOI BibTeX RDF	information-theoretic clustering, k-means distance, SAIL
2	Houfeng Ma, Xinghua Fan, Ji Chen	An Incremental Chinese Text Classification Algorithm Based on Quick Clustering.	ISIP	2008	DBLP DOI BibTeX RDF	Text classification, Incremental learning, Text clustering, Bayes, Affinity propagation
2	Xinwang Liu, Guomin Zhang, Yubin Zhan, En Zhu	An Incremental Feature Learning Algorithm Based on Least Square Support Vector Machine.	FAW	2008	DBLP DOI BibTeX RDF	Support Vector Machine, Incremental Learning, Least Square Support Vector Machine
2	Bo Liu, Huiguang Li, Tihua Wu, Qingbin Zhang	Hybrid Ant Colony Algorithm and Its Application on Function Optimization.	ISICA	2008	DBLP DOI BibTeX RDF	Binary ant colony algorithm (BACA), Population based incremental learning (PBIL), function optimization, probability model
2	Gend Lal Prajapati, Narendra S. Chaudhari, Manohar Chandwani	Efficient Incremental Model for Learning Context-Free Grammars from Positive Structural Examples.	SETN	2008	DBLP DOI BibTeX RDF	reversible context-free grammar, tree automaton, machine learning, incremental learning, Grammatical inference, structural description
2	Yi Lu Murphey, ZhiHang Chen, Lee A. Feldkamp	An incremental neural learning framework and its application to vehicle diagnostics.	Appl. Intell.	2008	DBLP DOI BibTeX RDF	Vehicle diagnostics, Neural networks, Incremental learning
2	Uzair Ahmad, Andrey Gavrilov, Young-Koo Lee, Sungyoung Lee	Context-aware, self-scaling Fuzzy ArtMap for received signal strength based location systems.	Soft Comput.	2008	DBLP DOI BibTeX RDF	Online incremental learning, Indoor location systems, Self-scalability, Context aware classifier, Signal strength
2	Devi Parikh, Robi Polikar	An Ensemble-Based Incremental Learning Approach to Data Fusion.	IEEE Transactions on Systems, Man, and Cybernetics, Part B	2007	DBLP DOI BibTeX RDF
2	Yinghong Ma, Yehong Han	An Incremental Learning Algorithm Based on Rough Set Theory.	International Conference on Computational Science	2007	DBLP DOI BibTeX RDF	AMS Subject Classifications TP18
2	Miguel A. Vega-Rodríguez, David Vega-Pérez, Juan Antonio Gómez Pulido, Juan Manuel Sánchez-Pérez	Radio Network Design Using Population-Based Incremental Learning and Grid Computing with BOINC.	EvoWorkshops	2007	DBLP DOI BibTeX RDF	RND, PBIL, BOINC, Grid Computing, Evolutionary Algorithm, Coverage, Antenna
2	Hu Wu, Yongji Wang, Xiaoyong Huai	AttributeNets: An Incremental Learning Method for Interpretable Classification.	PAKDD	2007	DBLP DOI BibTeX RDF
2	Yimin Wen, Bao-Liang Lu	Incremental Learning of Support Vector Machines by Classifier Combining.	PAKDD	2007	DBLP DOI BibTeX RDF
2	Jie Luo, Andrzej Pronobis, Barbara Caputo, Patric Jensfelt	Incremental learning for place recognition in dynamic environments.	IROS	2007	DBLP DOI BibTeX RDF
2	Michael Muhlbaier, Robi Polikar	An Ensemble Approach for Incremental Learning in Nonstationary Environments.	MCS	2007	DBLP DOI BibTeX RDF	Nonstationary environment, Learn?+?+?.NSE, concept drift
2	Chang Huang, Haizhou Ai, Takayoshi Yamashita, Shihong Lao, Masato Kawade	Incremental Learning of Boosted Face Detector.	ICCV	2007	DBLP DOI BibTeX RDF
2	Hirotaka Inoue, Hiroyuki Narihisa	Efficient Incremental Learning Using Self-Organizing Neural Grove.	ICONIP	2007	DBLP DOI BibTeX RDF
2	Eiichi Inohira, Hiromasa Oonishi, Hirokazu Yokoi	Perturbational Neural Networks for Incremental Learning in Virtual Learning System.	ICONIP	2007	DBLP DOI BibTeX RDF
2	Abdelhamid Bouchachia, Bogdan Gabrys, Zoheir Sahel	Overview of Some Incremental Learning Algorithms.	FUZZ-IEEE	2007	DBLP DOI BibTeX RDF
2	Gauvain Bourgne, Amal El Fallah-Seghrouchni, Henry Soldano	SMILE: Sound Multi-agent Incremental LEarning.	AAMAS	2007	DBLP DOI BibTeX RDF	multi-agent learning
2	José del Campo-Ávila, Gonzalo Ramos-Jiménez, Rafael Morales Bueno	Incremental Learning with Multiple Classifier Systems Using Correction Filters for Classification.	IDA	2007	DBLP DOI BibTeX RDF
2	Sylvain Calinon, Aude Billard	Incremental learning of gestures by imitation in a humanoid robot.	HRI	2007	DBLP DOI BibTeX RDF	gaussian mixture model, programming by demonstration, incremental learning, imitation learning
2	Christina B. Vilakazi, Tshilidzi Marwala	Online Incremental Learning for High Voltage Bushing Condition Monitoring.	IJCNN	2007	DBLP DOI BibTeX RDF
2	Shakir Mohamed, David M. Rubin, Tshilidzi Marwala	Incremental Learning for Classification of Protein Sequences.	IJCNN	2007	DBLP DOI BibTeX RDF
2	ZhiHang Chen, Liping Huang, Yi Lu Murphey	Incremental Learning for Text Document Classification.	IJCNN	2007	DBLP DOI BibTeX RDF
2	Akihito Sudo, Akihiro Sato, Osamu Hasegawa	Associative Memory for Online Incremental Learning in Noisy Environments.	IJCNN	2007	DBLP DOI BibTeX RDF
2	Kuo-Hua Wang, Chung-Ming Chan	Incremental learning approach and SAT model for Boolean matching with don't cares.	ICCAD	2007	DBLP DOI BibTeX RDF
2	Charles H.-P. Wen, Li-C. Wang, Jayanta Bhadra	An incremental learning framework for estimating signal controllability in unit-level verification.	ICCAD	2007	DBLP DOI BibTeX RDF
2	Zoheir Sahel, Abdelhamid Bouchachia, Bogdan Gabrys, Paul Rogers	Adaptive Mechanisms for Classification Problems with Drifting Data.	KES	2007	DBLP DOI BibTeX RDF	Incremental learning, Concept drift, adaptive classification
2	Sheng Wan, L. E. Banta	Parameter Incremental Learning Algorithm for Neural Networks.	IEEE Transactions on Neural Networks	2006	DBLP DOI BibTeX RDF
2	Jingqing Jiang, Chuyi Song, Chunguo Wu, Maurizio Marchese, Yanchun Liang	Support Vector Machine Regression Algorithm Based on Chunking Incremental Learning.	International Conference on Computational Science	2006	DBLP DOI BibTeX RDF
2	Rong Zhang, Alexander I. Rudnicky	A New Data Selection Principle for Semi-Supervised Incremental Learning.	ICPR	2006	DBLP DOI BibTeX RDF
2	Jun Wu, Bo Zhang, Xian-Sheng Hua, Jianwei Zhang	A semi-supervised incremental learning framework for sports video view classification.	MMM	2006	DBLP DOI BibTeX RDF
2	Haixia Chen, Senmiao Yuan, Kai Jiang	Adaptive Classifier Selection Based on Two Level Hypothesis Tests for Incremental Learning.	SSPR/SPR	2006	DBLP DOI BibTeX RDF
2	Sanjay Jain, Steffen Lange, Sandra Zilles	Towards a Better Understanding of Incremental Learning.	ALT	2006	DBLP DOI BibTeX RDF
2	Yinggang Zhao, Qinming He	An Incremental Learning Algorithm Based on Support Vector Domain Classifier.	IEEE ICCI	2006	DBLP DOI BibTeX RDF
2	Katsuhiko Nakamura	Incremental Learning of Context Free Grammars by Bridging Rule Generation and Search for Semi-optimum Rule Sets.	ICGI	2006	DBLP DOI BibTeX RDF	CFL, bottom-up parsing, grammatical inference, Synapse, iterative deepening
2	Myoung Soo Park, Jin Young Choi	Fast Incremental Learning Algorithm using Evolutionary Logic Networks for Real-Value Inputs.	IJCNN	2006	DBLP DOI BibTeX RDF
2	Takuya Kidera, Seiichi Ozawa, Shigeo Abe	An Incremental Learning Algorithm of Ensemble Classifier Systems.	IJCNN	2006	DBLP DOI BibTeX RDF
2	Xiaoming Liu 0004, Jianwei Yin, Zhilin Feng, Jinxiang Dong	Incremental Manifold Learning Via Tangent Space Alignment.	ANNPR	2006	DBLP DOI BibTeX RDF	incremental learning, manifold learning, LASSO, LTSA
2	Jan G. Bazan, Andrzej Skowron, Roman W. Swiniarski	Rough Sets and Vague Concept Approximation: From Sample Approximation to Adaptive Learning.	T. Rough Sets	2006	DBLP DOI BibTeX RDF	higher order vagueness, rough sets, constraints, reinforcement learning, intelligent systems, incremental learning, adaptive learning, Vagueness, approximation space
2	Duncan Potts, Claude Sammut	Incremental Learning of Linear Model Trees.	Machine Learning	2005	DBLP DOI BibTeX RDF	linear regression trees, online learning, incremental learning, model trees
2	Wojciech Ziarko	Incremental Learning and Evaluation of Structures of Rough Decision Tables.	T. Rough Sets	2005	DBLP DOI BibTeX RDF
2	Reza Rastegar, Mohammad Reza Meybodi	A note on the population based incremental learning with infinite population size.	Congress on Evolutionary Computation	2005	DBLP DOI BibTeX RDF
2	Chi Keong Goh, Hanyang Quek, Eu Jin Teoh, Kay Chen Tan	Evolution and incremental learning in the iterative prisoner's dilemma.	Congress on Evolutionary Computation	2005	DBLP DOI BibTeX RDF
2	Tebogo Seipone, John A. Bullinaria	Evolving improved incremental learning schemes for neural network systems.	Congress on Evolutionary Computation	2005	DBLP DOI BibTeX RDF
2	Timothy Gosling, Nanlin Jin, Edward P. K. Tsang	Population based incremental learning with guided mutation versus genetic algorithms: iterated prisoners dilemma.	Congress on Evolutionary Computation	2005	DBLP DOI BibTeX RDF
2	Jan Macek	Incremental Learning of Ensemble Classifiers on ECG Data.	CBMS	2005	DBLP DOI BibTeX RDF
2	Zeki Erdem, Robi Polikar, Fikret S. Gürgen, Nejat Yumusak	Ensemble of SVMs for Incremental Learning.	Multiple Classifier Systems	2005	DBLP DOI BibTeX RDF
2	Nicola Di Mauro, Floriana Esposito, Stefano Ferilli, Teresa Maria Altomare Basile	Avoiding Order Effects in Incremental Learning.	AI*IA	2005	DBLP DOI BibTeX RDF
2	Zhengxing Sun, Lisha Zhang, Enyi Tang	An Incremental Learning Method Based on SVM for Online Sketchy Shape Recognition.	ICNC	2005	DBLP DOI BibTeX RDF