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Publication search results
found 110 matches
- 2008
- M. Arif Wani, Mehmed M. Kantardzic, Tao Li, Ying Liu, Lukasz A. Kurgan, Jieping Ye, Mitsunori Ogihara, Seref Sagiroglu, Xue-wen Chen, Leif E. Peterson, Khalid Hafeez:
The Sixth International Conference on Machine Learning and Applications, ICMLA 2007, Cincinnati, Ohio, USA, 13-15 December 2007. IEEE Computer Society 2008, ISBN 0-7695-3069-9 [contents] - 2007
- Mehdi Adda, Lei Wu, Yi Feng:
Rare Itemset Mining. ICMLA 2007: 73-80 - Érick Alphonse, Aomar Osmani:
Phase transition and heuristic search in relational learning. ICMLA 2007: 112-117 - Thouraya Ayadi, Tarek M. Hamdani, Adel M. Alimi, Mohamed A. Khabou:
2IBGSOM: interior and irregular boundaries growing self-organizing maps. ICMLA 2007: 387-392 - Pierre Baldi:
Machine Learning Challenges in Chemoinformatics and Drug Screening and Design. ICMLA 2007 - Somnath Banerjee:
Boosting inductive transfer for text classification using wikipedia. ICMLA 2007: 148-153 - Haiyun Bian, Raj Bhatnagar, Barrington Young:
An Efficient Constraint-Based Closed Set Mining Algorithm. ICMLA 2007: 67-72 - Lynne Billard, Duck-Ki Kim, Chan-Hee Lee, Sung Duck Lee, Keon-Myung Lee, Sung-Soo Kim:
Modeling Spatial-Temporal Epidemics Using STBL Model. ICMLA 2007: 629-633 - Michalis E. Blazadonakis, Michalis E. Zervakis:
Polynomial and RBF Kernels as Marker Selection Tools-A Breast Cancer Case Study. ICMLA 2007: 488-493 - Jason Bobbin:
An incremental viterbi algorithm. ICMLA 2007: 104-111 - Cristina Boicu, Gheorghe Tecuci, Mihai Boicu:
Learning complex problem solving expertise from failures. ICMLA 2007: 118-123 - Henrik Boström:
Estimating class probabilities in random forests. ICMLA 2007: 211-216 - Guillaume Bouchard:
Bias-variance tradeoff in hybrid generative-discriminative models. ICMLA 2007: 124-129 - Guillaume Bouchard, Jean-Marc Andreoli:
Soft Failure Detection Using Factorial Hidden Markov Models. ICMLA 2007: 160-165 - Lofton A. Bullard, Taghi M. Khoshgoftaar, Kehan Gao:
An application of a rule-based model in software quality classification. ICMLA 2007: 204-210 - Brian Burford:
Direct calculation of predictions for K29/K29. ICMLA 2007: 458-463 - Guénaël Cabanes, Younès Bennani:
A simultaneous two-level clustering algorithm for automatic model selection. ICMLA 2007: 316-321 - Andrew Carlson, Ian Fette:
Memory-based context-sensitive spelling correction at web scale. ICMLA 2007: 166-171 - Alexandra M. Carvalho, Arlindo L. Oliveira:
Learning bayesian networks consistent with the optimal branching. ICMLA 2007: 369-374 - Víctor Uc Cetina:
Supervised reinforcement learning using behavior models. ICMLA 2007: 336-341 - Hung-Ching Chen, Mark K. Goldberg, Malik Magdon-Ismail, William A. Wallace:
Discover the power of social and hidden curriculum to decision making: experiments with enron email and movie newsgroups. ICMLA 2007: 154-159 - Xue-wen Chen, Jong Cheol Jeong:
Enhanced recursive feature elimination. ICMLA 2007: 429-435 - Li Chen, Chen Wang, Ie-Ming Shih, Tian-Li Wang, Zhen Zhang, Yue Joseph Wang, Robert Clarke, Eric P. Hoffman, Jianhua Xuan:
Biomarker Identification by Knowledge-Driven Multi-Level ICA and Motif Analysis. ICMLA 2007: 560-566 - Young-Rae Cho, Xian Xu, Woochang Hwang, Aidong Zhang:
Feature Extraction from Microarray Expression Data by Integration of Semantic Knowledge. ICMLA 2007: 606-611 - Kwangmin Choi, Youngik Yang, Sun Kim:
CLASSEQ: Classification of Sequences via Comparative Analysis of Multiple Genomes. ICMLA 2007: 554-559 - William W. Cohen:
Machine Learning for Information Management: Some Promising Directions. ICMLA 2007 - Dean Curtis, Vitaliy Kubushyn, Evangelos A. Yfantis, Michael Rogers:
A hierarchical feature decomposition clustering algorithm for unsupervised classification of document image types. ICMLA 2007: 423-428 - Michael Davy, Saturnino Luz:
Dimensionality reduction for active learning with nearest neighbour classifier in text categorisation problems. ICMLA 2007: 292-297 - Laura Diosan, Alexandrina Rogozan, Jean-Pierre Pécuchet:
Evolving kernel functions for SVMs by genetic programming. ICMLA 2007: 19-24 - Thanh-Nghi Do, Jean-Daniel Fekete:
Large Scale Classification with Support Vector Machine Algorithms. ICMLA 2007: 7-12
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