Search results for "machine learning classifiers"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
3	Xiaoyuan Su, Taghi M. Khoshgoftaar, Xingquan Zhu, Russell Greiner	Imputation-boosted collaborative filtering using machine learning classifiers.	SAC	2008	DBLP DOI BibTeX RDF	imputation techniques, machine learning classifiers, recommendation systems, collaborative filtering, incomplete data
1	Dimitrios Damopoulos, Sofia-Anna Menesidou, Georgios Kambourakis, Maria Papadaki, Nathan L. Clarke, Stefanos Gritzalis	Evaluation of anomaly-based IDS for mobile devices using machine learning classifiers.	Security and Communication Networks	2012	DBLP DOI BibTeX RDF
1	George P. Petropoulos, Kostas Arvanitis, Nick Sigrimis	Hyperion hyperspectral imagery analysis combined with machine learning classifiers for land use/cover mapping.	Expert Syst. Appl.	2012	DBLP DOI BibTeX RDF
1	Ana Carolina Lorena, Luís F. O. Jacintho, Marinez Ferreira de Siqueira, Renato De Giovanni, Lúcia G. Lohmann, André Carlos Ponce Leon Ferreira de Carvalho, Missae Yamamoto	Comparing machine learning classifiers in potential distribution modelling.	Expert Syst. Appl.	2011	DBLP DOI BibTeX RDF
1	Xiaoyuan Xie, Joshua W. K. Ho, Christian Murphy, Gail E. Kaiser, Baowen Xu, Tsong Yueh Chen	Testing and validating machine learning classifiers by metamorphic testing.	Journal of Systems and Software	2011	DBLP DOI BibTeX RDF
1	Aydano P. Machado, João Marcelo Lyra, Renato Ambrósio Jr., Guilherme Ribeiro, Luana P. N. Araújo, Camilla Xavier, Evandro Costa	Comparing Machine-Learning Classifiers in Keratoconus Diagnosis from ORA Examinations.	AIME	2011	DBLP DOI BibTeX RDF
1	Elijah Mayfield, Carolyn Penstein Rosé	Using feature construction to avoid large feature spaces in text classification.	GECCO	2010	DBLP DOI BibTeX RDF	feature space design, text classification, sentiment analysis
1	Jialie Shen, Wang Meng, Shuicheng Yan, HweeHwa Pang, Xian-Sheng Hua	Effective music tagging through advanced statistical modeling.	SIGIR	2010	DBLP DOI BibTeX RDF	search, tagging, recommendation, music, browsing
1	Dmitry Zinovev, Daniela Stan Raicu, Jacob D. Furst, Samuel G. Armato III	Predicting Radiological Panel Opinions Using a Panel of Machine Learning Classifiers.	Algorithms	2009	DBLP DOI BibTeX RDF
1	André L. B. Miranda, Luís Paulo F. Garcia, André C. P. L. F. Carvalho, Ana Carolina Lorena	Use of Classification Algorithms in Noise Detection and Elimination.	HAIS	2009	DBLP DOI BibTeX RDF	Gene Expression and Classification, Machine Learning, Noise
1	Lukasz Degórski, Michal Marcinczuk, Adam Przepiórkowski	Definition Extraction Using a Sequential Combination of Baseline Grammars and Machine Learning Classifiers.	LREC	2008	DBLP BibTeX RDF
1	Giacomo Verticale	On the Portability of Trained Machine Learning Classifiers for Early Application Identification.	SECURWARE	2008	DBLP DOI BibTeX RDF
1	Tony Shepherd, Daniel C. Alexander	Supervised methods for perfect segmentation in medical images.	ICIP	2008	DBLP DOI BibTeX RDF
1	Jan Miksatko, Bruce M. McLaren	What's in a Cluster? Automatically Detecting Interesting Interactions in Student E-Discussions.	Intelligent Tutoring Systems	2008	DBLP DOI BibTeX RDF	Machine Learning in ITS, Natural Language and Discourse, Collaborative Learning, Educational Data mining
1	Boaz Lerner, Hugo Guterman	Advanced Developments and Applications of the Fuzzy ARTMAP Neural Network in Pattern Classification.	Computational Intelligence Paradigms	2008	DBLP DOI BibTeX RDF
1	Rafael Ramirez, Enric Cecilla	Learning to Decode Instantaneous Cognitive States from Brain Images.	FBIT	2007	DBLP DOI BibTeX RDF
1	Dimitris Tzikas, Matjaz Kukar, Aristidis Likas	Transductive Reliability Estimation for Kernel Based Classifiers.	IDA	2007	DBLP DOI BibTeX RDF
1	Bo Qian, Khaled Rasheed	Stock market prediction with multiple classifiers.	Appl. Intell.	2007	DBLP DOI BibTeX RDF	Stock market prediction, Model ensemble, Machine learning, Efficient market hypothesis, Hurst exponent
1	Thuy T. T. Nguyen, Grenville J. Armitage	Training on multiple sub-flows to optimise the use of Machine Learning classifiers in real-world IP networks.	LCN	2006	DBLP DOI BibTeX RDF
1	Jason Parekh, Gueyoung Jung, Galen S. Swint, Calton Pu, Akhil Sahai	Issues in Bottleneck Detection in Multi-Tier Enterprise Applications.	IWQoS	2006	DBLP DOI BibTeX RDF
1	Zornitsa Kozareva, Andrés Montoyo	Paraphrase Identification on the Basis of Supervised Machine Learning Techniques.	FinTAL	2006	DBLP DOI BibTeX RDF
1	Hao Luo, Binxing Fang, Xiao-chun Yun	A Counting-Based Method for Massive Spam Mail Classification.	ISPEC	2006	DBLP DOI BibTeX RDF
1	Alma Lilia García-Almanza, Edward P. K. Tsang	The Repository Method for Chance Discovery in Financial Forecasting.	KES	2006	DBLP DOI BibTeX RDF
1	Roberto Ruiz, Beatriz Pontes, Raúl Giráldez, Jesús S. Aguilar-Ruiz	Gene Ranking from Microarray Data for Cancer Classification-A Machine Learning Approach.	KES	2006	DBLP DOI BibTeX RDF
1	Robert S. Ludwig, Michael J. Piovoso	A comparison of machine-learning classifiers for selecting money managers.	Int. Syst. in Accounting, Finance and Management	2005	DBLP DOI BibTeX RDF
1	Tom M. Mitchell	Machine Learning for Analyzing Human Brain Function.	PAKDD	2005	DBLP DOI BibTeX RDF
1	Amit David, Boaz Lerner	Signal Discrimination Using a Support Vector Machine for Genetic Syndrome Diagnosis.	ICPR	2004	DBLP DOI BibTeX RDF
1	Na Tang, V. Rao Vemuri	Web-Based Knowledge Acquisition to Impute Missing Values for Classification.	Web Intelligence	2004	DBLP DOI BibTeX RDF
1	Brian Carnahan, Gérard Meyer, Lois-Ann Kuntz	Comparing Statistical and Machine Learning Classifiers: Alternatives for Predictive Modeling in Human Factors Research.	Human Factors	2003	DBLP DOI BibTeX RDF
1	Jungwon Ryu, Sung-Bae Cho	Towards Optimal Feature and Classifier for Gene Expression Classification of Cancer.	AFSS	2002	DBLP DOI BibTeX RDF
1	Pierre Geurts	Pattern Extraction for Time Series Classification.	PKDD	2001	DBLP DOI BibTeX RDF