Search results for "Classification learning"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
2		Classification Learning.	Encyclopedia of Database Systems	2009	DBLP DOI BibTeX RDF
2	Sattar Hashemi, Ying Yang	Flexible decision tree for data stream classification in the presence of concept change, noise and missing values.	Data Min. Knowl. Discov.	2009	DBLP DOI BibTeX RDF	Classification learning, Data stream classification, Fuzzy learning, Decision tree learning
2	Stijn Goedertier, David Martens, Bart Baesens, Raf Haesen, Jan Vanthienen	Process Mining as First-Order Classification Learning on Logs with Negative Events.	Business Process Management Workshops	2007	DBLP DOI BibTeX RDF
2	Bin Zou, Jie Xu, Luoqing Li	The Study of Leave-One-Out Error-Based Classification Learning Algorithm for Generalization Performance.	ICNC	2006	DBLP DOI BibTeX RDF
2	Surendra K. Singhi, Huan Liu	Feature subset selection bias for classification learning.	ICML	2006	DBLP DOI BibTeX RDF
2	Dingfang Li, Wen Zhang	Gene Selection Using Rough Set Theory.	RSKT	2006	DBLP DOI BibTeX RDF	classification learning, Rough sets, bioinformatics, gene selection
2	Yiqiu Han, Wai Lam	Exploring Query Matrix for Support Pattern Based Classification Learning.	ICMLC	2005	DBLP DOI BibTeX RDF
2	James F. Peters, Sheela Ramanna	Towards a Software Change Classification System: A Rough Set Approach.	Software Quality Journal	2003	DBLP DOI BibTeX RDF	classification learning, paired t-test, software change classification, ten-fold cross validation, genetic algorithm, data mining, rough sets, software quality, computational intelligence
2	Grace J. Hwang, Chun-Chan Tung	Classification Learning by Decomposition of Numerical Datasets.	IDEAL	2002	DBLP DOI BibTeX RDF
2	Douglas A. Newlands, Geoffrey I. Webb	Convex Hulls in Concept Induction.	PAKDD	1999	DBLP DOI BibTeX RDF	classification learning, convex hulls, induction
2	H. Altay Güvenir	A Classification Learning Algorithm Robust to Irrelevant Features.	AIMSA	1998	DBLP DOI BibTeX RDF
1	Steven E. Prince, Laura A. Thomas, Philip A. Kragel, Kevin S. LaBar	Fear-relevant outcomes modulate the neural correlates of probabilistic classification learning.	NeuroImage	2012	DBLP DOI BibTeX RDF
1	Yan Zhang, Xingquan Zhu, Xindong Wu, Jeffrey P. Bond	Corrective classification: Learning from data imperfections with aggressive and diverse classifier ensembling.	Inf. Syst.	2011	DBLP DOI BibTeX RDF
1	Qiang He, Zongxia Xie, Qinghua Hu, Congxin Wu	Neighborhood based sample and feature selection for SVM classification learning.	Neurocomputing	2011	DBLP DOI BibTeX RDF
1	Kenneth R. Fleischmann, Thomas Clay Templeton, Jordan L. Boyd-Graber	Modeling diverse standpoints in text classification: learning to be human by modeling human values.	iConference	2011	DBLP DOI BibTeX RDF
1	Bernd Niklas Klein, Sian Lun Lau, Klaus David	Evaluation of the Influence of Time Synchronisation on Classification Learning Based Movement Detection with Accelerometers.	SAINT	2011	DBLP DOI BibTeX RDF	Time Locality, Ubiquitous Computing, Context Awareness, Accelerometer, Time Synchronization, Middleware Frameworks
1	Hongwei Zhang, Jingxun Xu, Shurong Zou	Classification Learning System Based on Multi-objective GA and Microthermal Weather Forecast.	ICDMA	2011	DBLP DOI BibTeX RDF
1		Classification Learning.	Encyclopedia of Machine Learning	2010	DBLP DOI BibTeX RDF
1	Hector Llorens, Estela Saquete, Borja Navarro-Colorado	TimeML Events Recognition and Classification: Learning CRF Models with Semantic Roles.	COLING	2010	DBLP BibTeX RDF
1	Gary R. Marrs, Ray J. Hickey, Michaela M. Black	The Impact of Latency on Online Classification Learning with Concept Drift.	KSEM	2010	DBLP DOI BibTeX RDF
1	Joshua Jones, Ashok K. Goel	Effects of Faulty Knowledge Engineering on Structured Classification Learning.	Abstraction, Reformulation, and Approximation	2010	DBLP BibTeX RDF
1	Mathias Péroumalnaïk, Gilles Énée	Prediction using Pittsburgh learning classifier systems: APCS use case.	GECCO (Companion)	2010	DBLP DOI BibTeX RDF	Pittsburgh learning classifier systems, apcs, classification, segmentation, map
1	Fabio Aiolli, Riccardo Cardin, Fabrizio Sebastiani, Alessandro Sperduti	Preferential text classification: learning algorithms and evaluation measures.	Inf. Retr.	2009	DBLP DOI BibTeX RDF	Preferential learning, Primary and secondary categories, Text classification, Text categorization, Supervised learning
1	Fabio Aiolli, Riccardo Cardin, Fabrizio Sebastiani, Alessandro Sperduti	Preferential Text Classification: Learning Algorithms and Evaluation Measures.	ERCIM News	2009	DBLP BibTeX RDF
1	Thomas Ngo-Yel, Abhijit Dutt	A Study on Efficacy of Ensamble Methods for Classification Learning.	ICIS	2009	DBLP BibTeX RDF
1	Stefan Klampfl, Wolfgang Maass	Replacing supervised classification learning by Slow Feature Analysis in spiking neural networks.	NIPS	2009	DBLP BibTeX RDF
1	Ondrej Kuzelka, Filip Zelezný	Block-wise construction of acyclic relational features with monotone irreducibility and relevancy properties.	ICML	2009	DBLP DOI BibTeX RDF
1	Qinghua Hu, Xunjian Che, Jinfu Liu	Feature Selection via Maximizing Neighborhood Soft Margin.	ACML	2009	DBLP DOI BibTeX RDF
1	Costanza Navarretta	Automatic Recognition of the Function of Singular Neuter Pronouns in Texts and Spoken Data.	DAARC	2009	DBLP DOI BibTeX RDF	Singular neuter pronouns, Pronominal functions, Individual and Abstract anaphora, Text and Spoken corpora, Machine learning, Annotation
1	Joaquín Abellán, Andrés R. Masegosa	An Experimental Study about Simple Decision Trees for Bagging Ensemble on Datasets with Classification Noise.	ECSQARU	2009	DBLP DOI BibTeX RDF	credal sets, imprecise Dirichlet model, ensemble decision trees, classification, Imprecise probabilities, uncertainty measures
1	Guillaume Stempfel, Liva Ralaivola	Learning SVMs from Sloppily Labeled Data.	ICANN	2009	DBLP DOI BibTeX RDF
1	Ying Yang, Xindong Wu, Xingquan Zhu	Conceptual equivalence for contrast mining in classification learning.	Data Knowl. Eng.	2008	DBLP DOI BibTeX RDF
1	Arnoldo Rodriguez	Generation, testing and recommendation of teaching materials using classification learning.	IJAMC	2008	DBLP DOI BibTeX RDF
1	Cecilio Angulo	Learning Kernel Classifiers: Theory and Algorithms (Herbrich, R.; 2002) [Book reviews].	IEEE Transactions on Neural Networks	2008	DBLP DOI BibTeX RDF
1	Kathryn Hempstalk, Eibe Frank	Discriminating Against New Classes: One-class versus Multi-class Classification.	Australasian Conference on Artificial Intelligence	2008	DBLP DOI BibTeX RDF
1	Nobuhiro Inuzuka, Hiroyuki Ishida, Tomofumi Nakano	Control of Hypothesis Space Using Meta-knowledge in Inductive Learning.	KES	2008	DBLP DOI BibTeX RDF
1	Xunkai Wei, Yinghong Li, Yufei Li, Dong-Fang Zhang	Enclosing machine learning: concepts and algorithms.	Neural Computing and Applications	2008	DBLP DOI BibTeX RDF	Enclosing machine learning, Minimum volume enclosing shapes, Minimum volume enclosing ellipsoid, Cognitive class description, Cognitive class recognizing, Cognitive process
1	Yiqiu Han, Wai Lam, Charles X. Ling	Customized classification learning based on query projections.	Inf. Sci.	2007	DBLP DOI BibTeX RDF
1	Chang-Hwan Lee	A Hellinger-based discretization method for numeric attributes in classification learning.	Knowl.-Based Syst.	2007	DBLP DOI BibTeX RDF
1	Vikraman Arvind, Johannes Köbler, Wolfgang Lindner	Parameterized Learnability of k -Juntas and Related Problems.	ALT	2007	DBLP DOI BibTeX RDF	Subject Classification Learning theory, computational complexity
1	Jason C. Isaacs, Simon Y. Foo, Anke Meyer-Bäse	Novel Kernels and Kernel PCA for Pattern Recognition.	CIRA	2007	DBLP DOI BibTeX RDF
1	Takashi Onoda, Hiroshi Murata, Seiji Yamada	Comparison of Learning Performance and Retrieval Performance for Support Vector Machines Based Relevance Feedback Document Retrieval.	Web Intelligence/IAT Workshops	2007	DBLP DOI BibTeX RDF
1	Ganesan Velayathan, Seiji Yamada	Investigating User Browsing Behavior.	Web Intelligence/IAT Workshops	2007	DBLP DOI BibTeX RDF
1	Jason C. Isaacs, Simon Y. Foo, Anke Meyer-Bäse	A performance analysis of lattice oscilation model kernels and KPCA.	SMC	2007	DBLP DOI BibTeX RDF
1	Yanmin Sun, Andrew K. C. Wong, Yang Wang 0007	Generative and Discriminative Learning by CL-Net.	IEEE Transactions on Systems, Man, and Cybernetics, Part B	2007	DBLP DOI BibTeX RDF
1	Eyke Hüllermeier, Johannes Fürnkranz	On Minimizing the Position Error in Label Ranking.	ECML	2007	DBLP DOI BibTeX RDF
1	Jürgen Hofer, Thomas Fahringer	Grid Application Fault Diagnosis Using Wrapper Services and Machine Learning.	ICSOC	2007	DBLP DOI BibTeX RDF
1	Toon Calders, Szymon Jaroszewicz	Efficient AUC Optimization for Classification.	PKDD	2007	DBLP DOI BibTeX RDF
1	Xin Zhang, Wenyuan Dai, Gui-Rong Xue, Yong Yu	Adaptive Email Spam Filtering Based on Information Theory.	WISE	2007	DBLP DOI BibTeX RDF	email spam, adaptive, information theory
1	Jun Zhang, Zhaohui Peng, Shan Wang, Huijing Nie	CLASCN: Candidate Network Selection for Efficient Top- k Keyword Queries over Databases.	J. Comput. Sci. Technol.	2007	DBLP DOI BibTeX RDF	candidate network, relational database, keyword search, top-k query
1	Takashi Onoda, Hiroshi Murata, Seiji Yamada	SVM-based Interactive Document Retrieval with Active Learning.	New Generation Comput.	2007	DBLP DOI BibTeX RDF	Support Vector Machines, Relevance Feedback, Active Learning, Document Retrieval
1	Daisuke Torii, Toru Ishida, François Bousquet	Modeling agents and interactions in agricultural economics.	AAMAS	2006	DBLP DOI BibTeX RDF	machine learning, modeling methodology, agent interaction, multiagent simulation, participatory simulation
1	Takashi Onoda, Hiroshi Murata, Seiji Yamada	Support Vector Machines Based Active Learning for the Relevance Feedback Document Retrieval.	IAT Workshops	2006	DBLP DOI BibTeX RDF
1	Sam Chao, Yiping Li	Uncovering Potential Attribute Relevance via MIA-Processing in Data Mining.	ICDM Workshops	2006	DBLP DOI BibTeX RDF
1	Yiming Ying, Ding-Xuan Zhou	Online Regularized Classification Algorithms.	IEEE Transactions on Information Theory	2006	DBLP DOI BibTeX RDF
1	Shu Zhao, Yanping Zhang, Ling Zhang, Ping Zhang, Ying-chun Zhang	Probability Model of Covering Algorithm (PMCA).	ICIC	2006	DBLP DOI BibTeX RDF
1	Lizhong Gu, Jianbo Su	Humanoid Robot Behavior Learning Based on ART Neural Network and Cross-Modality Learning.	ICNC	2006	DBLP DOI BibTeX RDF
1	Chang-Hwan Lee	A Semi-naive Bayesian Learning Method for Utilizing Unlabeled Data.	KES	2006	DBLP DOI BibTeX RDF
1	Daisuke Torii, François Bousquet, Toru Ishida, Guy Trébuil, Chirawat Vejpas	Using Classification Learning in Companion Modeling.	PRIMA	2005	DBLP DOI BibTeX RDF
1	Juho Rousu, Craig Saunders, Sándor Szedmák, John Shawe-Taylor	Learning hierarchical multi-category text classification models.	ICML	2005	DBLP DOI BibTeX RDF
1	Klaus Brinker	On Active Learning in Multi-label Classification.	GfKl	2005	DBLP DOI BibTeX RDF
1	Kee Siong Ng, John W. Lloyd	Predicate Selection for Structural Decision Trees.	ILP	2005	DBLP DOI BibTeX RDF
1	Jia-Hong Wu, Robert Givan	Feature-Discovering Approximate Value Iteration Methods.	SARA	2005	DBLP DOI BibTeX RDF
1	Frank-Michael Schleif, Thomas Villmann, Barbara Hammer	Local Metric Adaptation for Soft Nearest Prototype Classification to Classify Proteomic Data.	WILF	2005	DBLP DOI BibTeX RDF	metric adaptation, proteomic profiling, classification, mass spectrometry, learning vector quantization
1	Yiqiu Han, Wai Lam	Query-Driven Support Pattern Discovery for Classification Learning.	ICDM	2004	DBLP DOI BibTeX RDF
1	Yiqiu Han, Wai Lam	Exploiting Hierarchical Domain Values in Classification Learning.	SDM	2004	DBLP BibTeX RDF
1	Y. Wu, Belle L. Tseng, John R. Smith	Ontology-based multi-classification learning for video concept detection.	ICME	2004	DBLP BibTeX RDF
1	Klaus Brinker	Active learning of label ranking functions.	ICML	2004	DBLP DOI BibTeX RDF
1	Ofer Dekel, Joseph Keshet, Yoram Singer	Large margin hierarchical classification.	ICML	2004	DBLP DOI BibTeX RDF
1	Cheng-Lin Liu, Stefan Jäger, Masaki Nakagawa	Online Recognition of Chinese Characters: The State-of-the-Art.	IEEE Trans. Pattern Anal. Mach. Intell.	2004	DBLP DOI BibTeX RDF	Online Chinese character recognition, character classification, contextual processing, performance evaluation, state-of-the-art, pattern representation, model learning
1	Tolga Aydin, H. Altay Güvenir	Learning Interestingness of Streaming Classification Rules.	ISCIS	2004	DBLP DOI BibTeX RDF
1	Ying Yang, Xindong Wu, Xingquan Zhu	Dealing with Predictive-but-Unpredictable Attributes in Noisy Data Sources.	PKDD	2004	DBLP DOI BibTeX RDF
1	Boonserm Kijsirikul, Narong Boonsirisumpun, Yachai Limpiyakorn	Multiclass Support Vector Machines Using Balanced Dichotomization.	PRICAI	2004	DBLP DOI BibTeX RDF
1	Pablo Alberto Dalbem de Castro, Heloisa de Arruda Camargo	A Study of the Reasoning Methods Impact on Genetic Learning and Optimization of Fuzzy Rules.	SBIA	2004	DBLP DOI BibTeX RDF	Genetic Fuzzy Rule-Based Systems, Fuzzy Reasoning Methods, Learning, Pattern Classification
1	Yiqiu Han, Wai Lam	Exploiting Heterogeneous Features for Classification Learning.	IDEAL	2003	DBLP DOI BibTeX RDF	hierarchical features, parameter estimation, Bayesian learning
1	Elisa Alghisi Manganello, Germano Resconi	Geometric Image of Statistical Learning (Morphogenetic Neuron).	EUROCAST	2003	DBLP DOI BibTeX RDF
1	James F. Peters, Sheela Ramanna, Marcin S. Szczuka	Towards a Line-Crawling Robot Obstacle Classification System: A Rough Set Approach.	RSFDGrC	2003	DBLP DOI BibTeX RDF
1	Damien Brain, Geoffrey I. Webb	The Need for Low Bias Algorithms in Classification Learning from Large Data Sets.	PKDD	2002	DBLP DOI BibTeX RDF
1	Petra Perner, Horst Perner, Bernd Müller	Similarity Guided Learning of the Case Description and Improvement of the System Performance in an Image Classification System.	ECCBR	2002	DBLP DOI BibTeX RDF	Learning Vocabulary, Image Classification, Case-Based Reasoning
1	Jung-Yi Lin, Been-Chian Chien, Tzung-Pei Hong	A Function-Based Classifier Learning Scheme Using Genetic Programming.	PAKDD	2002	DBLP DOI BibTeX RDF
1	Achim G. Hoffmann, Rex Bing Hung Kwok, Paul Compton	Using Subclasses to Improve Classification Learning.	ECML	2001	DBLP DOI BibTeX RDF
1	Baohua Gu, Bing Liu 0001, Feifang Hu, Huan Liu	Efficiently Determining the Starting Sample Size for Progressive Sampling.	ECML	2001	DBLP DOI BibTeX RDF
1	Wojciech Kwedlo, Marek Kretowski	An Evolutionary Algorithm for Cost-Sensitive Decision Rule Learning.	ECML	2001	DBLP DOI BibTeX RDF
1	Martin Jüttner, Ingo Rentschler	Bildkategoriales Lernen - Learning image categories.	Kognitionswissenschaft	2001	DBLP BibTeX RDF
1	Ayahiko Niimi, Eiichiro Tazaki	Rule Discovery Technique Using Genetic Programming Combined with Apriori Algorithm.	Discovery Science	2000	DBLP DOI BibTeX RDF
1	Changhwan Lee, Dong-Guk Shin	A Multistrategy Approach to Classification Learning in Databases.	Data Knowl. Eng.	1999	DBLP BibTeX RDF
1	Ethem Alpaydin	Combined 5 x 2 cv F Test for Comparing Supervised Classification Learning Algorithms.	Neural Computation	1999	DBLP DOI BibTeX RDF
1	Iñaki Inza, Pedro Larrañaga, Basilio Sierra, Ramon Etxeberria, José Antonio Lozano, José Manuel Peña	Representing the behaviour of supervised classification learning algorithms by Bayesian networks.	Pattern Recognition Letters	1999	DBLP DOI BibTeX RDF
1	Thomas G. Dietterich	Approximate Statistical Test For Comparing Supervised Classification Learning Algorithms.	Neural Computation	1998	DBLP DOI BibTeX RDF
1	Murlikrishna Viswanathan, Geoffrey I. Webb	Classification Learning Using All Rules.	ECML	1998	DBLP DOI BibTeX RDF
1	Andreas Kanstein, Karl Goser	Dynamic Learning of Radial Basis Functions for Fuzzy Clustering.	IWANN	1995	DBLP DOI BibTeX RDF
1	Changhwan Lee, Dong-Guk Shin	A Context-Sensitive Discretization of Numeric Attributes for Classification Learning.	ECAI	1994	DBLP BibTeX RDF
1	Usama M. Fayyad, Keki B. Irani	Multi-Interval Discretization of Continuous-Valued Attributes for Classification Learning.	IJCAI	1993	DBLP BibTeX RDF
1	Stephen M. Omohundro	Bumptrees for Efficient Function, Constraint and Classification Learning.	NIPS	1990	DBLP BibTeX RDF