Search results for "incremental learning algorithm"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
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
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	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	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	Yinggang Zhao, Qinming He	An Incremental Learning Algorithm Based on Support Vector Domain Classifier.	IEEE ICCI	2006	DBLP DOI BibTeX RDF
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	Weijiang Long, Fengfeng Zhu, Wenxiu Zhang	An Incremental Algorithm About the Affinity-Rule Based Transductive Learning Machine for Semi-Supervised Problem.	Intelligent Information Processing	2004	DBLP DOI BibTeX RDF	Transductive learning machine, Affinity measure, Incremental learning algorithm, Support vector machines, Semi-supervised learning
2	Jeffrey Byorick, Robi Polikar	Confidence Estimation Using the Incremental Learning Algorithm, Learn++.	ICANN	2003	DBLP DOI BibTeX RDF
1	Cunhe Li, Kangwei Liu, Hongxia Wang	The incremental learning algorithm with support vector machine based on hyperplane-distance.	Appl. Intell.	2011	DBLP DOI BibTeX RDF
1	Xiaopeng Hua, Shifei Ding	Incremental Learning Algorithm for Support Vector Data Description.	JSW	2011	DBLP DOI BibTeX RDF
1	Stephen M. Long, Tran Trung Tran, Peter Adams, Paul Darwen, Mark L. Smythe	Conformational searching using a population-based incremental learning algorithm.	Journal of Computational Chemistry	2011	DBLP DOI BibTeX RDF
1	Andon V. Topalov, Yesim Oniz, Erdal Kayacan, Okyay Kaynak	Neuro-fuzzy control of antilock braking system using sliding mode incremental learning algorithm.	Neurocomputing	2011	DBLP DOI BibTeX RDF
1	Helong Li, Sam Kwong, Yi Hong	The convergence analysis and specification of the Population-Based Incremental Learning algorithm.	Neurocomputing	2011	DBLP DOI BibTeX RDF
1	Yuping Qin, Shuxian Lun, Qiangkui Leng, Yandong Guo	A hyper ellipsoidal incremental learning algorithm.	FSKD	2011	DBLP DOI BibTeX RDF
1	Piyabute Fuangkhon, Thitipong Tanprasert	An Outpost Vector placement evaluation of an incremental learning algorithm for Support Vector Machine.	IJCNN	2011	DBLP DOI BibTeX RDF
1	Seiichi Ozawa, Toshihisa Tabuchi, Sho Nakasaka, Asim Roy	An Autonomous Incremental Learning Algorithm for Radial Basis Function Networks.	JILSA	2010	DBLP DOI BibTeX RDF
1	Leandro dos Santos Coelho, Rafael Bartnik Grebogi	Chaotic synchronization using PID control combined with population based incremental learning algorithm.	Expert Syst. Appl.	2010	DBLP DOI BibTeX RDF
1	Gregory Ditzler, Robi Polikar, Nitesh V. Chawla	An Incremental Learning Algorithm for Non-stationary Environments and Class Imbalance.	ICPR	2010	DBLP DOI BibTeX RDF
1	Yuping Qin, Qiangkui Leng, Xiangna Meng, Qian Luo	A new incremental learning algorithm based on hyper-sphere SVM.	FSKD	2010	DBLP DOI BibTeX RDF
1	Yu Ren, Shengxin Mei	A SVM incremental learning algorithm based on hull vectors and center vectors.	ICNC	2010	DBLP DOI BibTeX RDF
1	Seiichi Ozawa, Sho Nakasaka, Asim Roy	An autonomous incremental learning algorithm of Resource Allocating Network for online pattern recognition.	IJCNN	2010	DBLP DOI BibTeX RDF
1	Jacques M. Bahi, Sylvain Contassot-Vivier, Marc Sauget	An incremental learning algorithm for function approximation.	Advances in Engineering Software	2009	DBLP DOI BibTeX RDF
1	Hua Duan, Xiaojian Shao, Weizhen Hou, Guoping He, Qingtian Zeng	An incremental learning algorithm for Lagrangian support vector machines.	Pattern Recognition Letters	2009	DBLP DOI BibTeX RDF
1	Junichi Hoshino, Hiroshi Mori	Incremental Learning Algorithm for Online Action Game System.	ICEC	2009	DBLP DOI BibTeX RDF	action game, imitation learning, non-player character
1	Chongming Wu, Xiaodan Wang, Dongying Bai, Hongda Zhang	Fast Incremental Learning Algorithm of SVM on KKT Conditions.	FSKD	2009	DBLP DOI BibTeX RDF
1	Seiichi Ozawa, Keisuke Okamoto	An Incremental Learning Algorithm for Resource Allocating Networks Based on Local Linear Regression.	ICONIP	2009	DBLP DOI BibTeX RDF
1	Komla A. Folly, Ganesh K. Venayagamoorthy	Effects of learning rate on the performance of the population based incremental learning algorithm.	IJCNN	2009	DBLP DOI BibTeX RDF
1	Ryohei Ohta, Seiichi Ozawa	An incremental learning algorithm of Recursive Fisher Linear Discriminant.	IJCNN	2009	DBLP DOI BibTeX RDF
1	Negin Nejati, Tolga Könik, Ugur Kuter	A goal- and dependency-directed algorithm for learning hierarchical task networks.	K-CAP	2009	DBLP DOI BibTeX RDF	analytical learning, learning by observation, learning htns, learning procedural planning knowledge
1	Wataru Takano, Yoshihiko Nakamura	Incremental learning of integrated semiotics based on linguistic and behavioral symbols.	IROS	2009	DBLP DOI BibTeX RDF
1	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
1	Toshihisa Tabuchi, Seiichi Ozawa, Asim Roy	An Autonomous Learning Algorithm of Resource Allocating Network.	IDEAL	2009	DBLP DOI BibTeX RDF
1	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
1	Ryan Elwell, Robi Polikar	Incremental Learning of Variable Rate Concept Drift.	MCS	2009	DBLP DOI BibTeX RDF	nonstationary environment, Learn?+?+?.NSE, concept drift
1	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
1	Masoud Mirmomeni, Caro Lucas, Masoud Shafiee, Babak Nadjar Araabi, Elaheh Kamaliha	Fuzzy descriptor systems and spectral analysis for chaotic time series prediction.	Neural Computing and Applications	2009	DBLP DOI BibTeX RDF	Long term prediction, Singular spectrum analysis, Fuzzy descriptor models, GLoLiMoT, Chaotic time series
1	Mario Ventresca, Hamid R. Tizhoosh	A diversity maintaining population-based incremental learning algorithm.	Inf. Sci.	2008	DBLP DOI BibTeX RDF
1	Faizan Javed, Marjan Mernik, Barrett R. Bryant, Alan P. Sprague	An Unsupervised Incremental Learning Algorithm for Domain-Specific Language Development.	Applied Artificial Intelligence	2008	DBLP DOI BibTeX RDF
1	Yi Hong, Sam Kwong, Yuchou Chang, Qingsheng Ren	Unsupervised feature selection using clustering ensembles and population based incremental learning algorithm.	Pattern Recognition	2008	DBLP DOI BibTeX RDF
1	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
1	He Guang-Yu, Wen Ying-You, Zhao Hong	SPIT Detection and Prevention Method in VoIP Environment.	ARES	2008	DBLP DOI BibTeX RDF
1	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
1	José M. Chaves-González, David Domínguez-González, Miguel Ángel Vega Rodríguez, Juan Antonio Gómez Pulido, Juan Manuel Sánchez-Pérez	Parallelizing PBIL for Solving a Real-World Frequency Assignment Problem in GSM Networks.	PDP	2008	DBLP DOI BibTeX RDF
1	Jen-Tzung Chien, Meng-Sung Wu	Adaptive Bayesian Latent Semantic Analysis.	IEEE Transactions on Audio, Speech & Language Processing	2008	DBLP DOI BibTeX RDF
1	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
1	Vittorio Castelli, Lawrence D. Bergman	Distributed augmentation-based learning: a learning algorithm for distributed collaborative programming-by-demonstration.	IUI	2007	DBLP DOI BibTeX RDF	example-and demonstration-based interfaces, artificial intelligence, programming-by-demonstration
1	Rekha Kandwal, Kamal Kant Bharadwaj	Censor Updation during Dynamic Clustering of Hierarchical Censored Production Rules (HCPRs).	FSKD	2007	DBLP DOI BibTeX RDF
1	Chang Huang, Haizhou Ai, Takayoshi Yamashita, Shihong Lao, Masato Kawade	Incremental Learning of Boosted Face Detector.	ICCV	2007	DBLP DOI BibTeX RDF
1	Joseph DePasquale, Robi Polikar	Random Feature Subset Selection for Analysis of Data with Missing Features.	IJCNN	2007	DBLP DOI BibTeX RDF
1	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
1	Li Jiangwei, Wang Yunhong	Video-Based Face Tracking and Recognition on Updating Twin GMMs.	ICB	2007	DBLP DOI BibTeX RDF	Online Updating, Face Recognition, GMM, Bayesian Inference, Face Tracking
1	Yimin Wen, Bao-Liang Lu	Incremental Learning of Support Vector Machines by Classifier Combining.	PAKDD	2007	DBLP DOI BibTeX RDF
1	Olivier Buffet, Alain Dutech, François Charpillet	Shaping multi-agent systems with gradient reinforcement learning.	Autonomous Agents and Multi-Agent Systems	2007	DBLP DOI BibTeX RDF	Policy-gradient, Multi-agent systems, Reinforcement learning, Shaping, Partially observable Markov decision processes
1	Ali Gholipour, Caro Lucas, Babak Nadjar Araabi, Masoud Mirmomeni, Masoud Shafiee	Extracting the main patterns of natural time series for long-term neurofuzzy prediction.	Neural Computing and Applications	2007	DBLP DOI BibTeX RDF	Long-term prediction, Singular spectrum analysis, Locally linear neurofuzzy model, Solar activity, Sunspot number time series, Forecasting
1	Sheng Wan, L. E. Banta	Parameter Incremental Learning Algorithm for Neural Networks.	IEEE Transactions on Neural Networks	2006	DBLP DOI BibTeX RDF
1	Reza Rastegar, Arash Hariri	The Population-Based Incremental Learning Algorithm converges to local optima.	Neurocomputing	2006	DBLP DOI BibTeX RDF
1	Takuya Kidera, Seiichi Ozawa, Shigeo Abe	An Incremental Learning Algorithm of Ensemble Classifier Systems.	IJCNN	2006	DBLP DOI BibTeX RDF
1	Hisashi Kashima, Naoki Abe	A Parameterized Probabilistic Model of Network Evolution for Supervised Link Prediction.	ICDM	2006	DBLP DOI BibTeX RDF
1	Huaxiang Zhang, Peide Liu	A Novel P2P Information Clustering and Retrieval Mechanism.	ADMA	2006	DBLP DOI BibTeX RDF
1	Yago Sáez, Pedro Isasi, Javier Segovia, Asunción Mochón	An Experimental Comparative Study for Interactive Evolutionary Computation Problems.	EvoWorkshops	2006	DBLP DOI BibTeX RDF
1	Reza Rastegar, Arash Hariri, M. Mazoochi	A Convergence Proof for the Population Based Incremental Learning Algorithm.	ICTAI	2005	DBLP DOI BibTeX RDF
1	German Florez-Larrahondo, Susan M. Bridges, Rayford B. Vaughn	Efficient Modeling of Discrete Events for Anomaly Detection Using Hidden Markov Models.	ISC	2005	DBLP DOI BibTeX RDF
1	Zeki Erdem, Robi Polikar, Fikret S. Gürgen, Nejat Yumusak	Ensemble of SVMs for Incremental Learning.	Multiple Classifier Systems	2005	DBLP DOI BibTeX RDF
1	Ioannis Katakis, Grigorios Tsoumakas, Ioannis P. Vlahavas	On the Utility of Incremental Feature Selection for the Classification of Textual Data Streams.	Panhellenic Conference on Informatics	2005	DBLP DOI BibTeX RDF
1	Binbin Peng, Wenyin Liu, Yin Liu, Guanglin Huang, Zhengxing Sun, Xiangyu Jin	An Svm-Based Incremental Learning Algorithm For User Adaptation Of Sketch Recognition.	IJPRAI	2004	DBLP DOI BibTeX RDF
1	Devi Parikh, Min T. Kim, Joseph Oagaro, Shreekanth Mandayam, Robi Polikar	Combining classifiers for multisensor data fusion.	SMC	2004	DBLP DOI BibTeX RDF
1	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
1	Weijiang Long, Wenxiu Zhang	Transductive Learning Machine Based on the Affinity-Rule for Semi-supervised Problems and Its Algorithm.	ISNN	2004	DBLP DOI BibTeX RDF
1	Michael Lewitt, Robi Polikar	An Ensemble Approach for Data Fusion with Learn++.	Multiple Classifier Systems	2003	DBLP DOI BibTeX RDF
1	Salvador Nieto Sánchez, Evangelos Triantaphyllou, Jianhua Chen, T. Warren Liao	An incremental learning algorithm for constructing Boolean functions from positive and negative examples.	Computers & OR	2002	DBLP DOI BibTeX RDF
1	Pablo Zegers, Malur K. Sundareshan	Determining The Degree of Generalization Using An Incremental Learning Algorithm.	HIS	2002	DBLP BibTeX RDF
1	Oscar Déniz, Modesto Castrillón Santana, Javier Lorenzo, Mario Hernández	An Incremental Learning Algorithm for Face Recognition.	Biometric Authentication	2002	DBLP BibTeX RDF
1	João Gama, Gladys Castillo	Adaptive Bayes.	IBERAMIA	2002	DBLP DOI BibTeX RDF	Adaptive Bayes, Incremental Systems, Machine Learning, User Modeling
1	Mihai Lazarescu, Andrew Turpin, Svetha Venkatesh	An Application of Machine Learning Techniques for the Classification of Glaucomatous Progression.	SSPR/SPR	2002	DBLP DOI BibTeX RDF
1	Robi Polikar, L. Upda, S. S. Upda, Vasant Honavar	Learn++: an incremental learning algorithm for supervised neural networks.	IEEE Transactions on Systems, Man, and Cybernetics, Part C	2001	DBLP DOI BibTeX RDF
1	Rong Xiao, Jicheng Wang, Fuyan Zhang	An approach to incremental SVM learning algorithm.	ICTAI	2000	DBLP DOI BibTeX RDF	incremental learning algorithm, support vector set properties, classification equivalence, knowledge accumulation, optimal unimportant sample discarding, least-recently used scheme, training process speed, classification precision, support vector machine, learning (artificial intelligence), pattern classification, learning automata, training set, classification algorithm, storage costs
1	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
1	Mihai Lazarescu, Svetha Venkatesh, Geoff A. W. West, Terry Caelli	On the Automated Interpretation and Indexing of American Football. (PDF / PS)	ICMCS, Vol. 1	1999	DBLP DOI BibTeX RDF	Machine Learning, Multimedia, Content Based Indexing/Retrieval
1	Mihai Lazarescu, Svetha Venkatesh, Geoff A. W. West	Classifying and Learning Cricket Shots Using Camera Motion.	Australian Joint Conference on Artificial Intelligence	1999	DBLP DOI BibTeX RDF
1	Ning Shan, Wojciech Ziarko	An Incremental Learning Algorithm for Constructing Decision Rules.	RSKD	1993	DBLP BibTeX RDF