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BMCBI
2006
201views more  BMCBI 2006»
13 years 8 months ago
Gene selection algorithms for microarray data based on least squares support vector machine
Background: In discriminant analysis of microarray data, usually a small number of samples are expressed by a large number of genes. It is not only difficult but also unnecessary ...
E. Ke Tang, Ponnuthurai N. Suganthan, Xin Yao
ICML
1999
IEEE
14 years 9 months ago
Least-Squares Temporal Difference Learning
Excerpted from: Boyan, Justin. Learning Evaluation Functions for Global Optimization. Ph.D. thesis, Carnegie Mellon University, August 1998. (Available as Technical Report CMU-CS-...
Justin A. Boyan
EDBT
2010
ACM
152views Database» more  EDBT 2010»
13 years 11 months ago
Feedback-based annotation, selection and refinement of schema mappings for dataspaces
The specification of schema mappings has proved to be time and resource consuming, and has been recognized as a critical bottleneck to the large scale deployment of data integrati...
Khalid Belhajjame, Norman W. Paton, Suzanne M. Emb...
ML
2006
ACM
13 years 8 months ago
Universal parameter optimisation in games based on SPSA
Most game programs have a large number of parameters that are crucial for their performance. While tuning these parameters by hand is rather difficult, efficient and easy to use ge...
Levente Kocsis, Csaba Szepesvári
BMCBI
2006
122views more  BMCBI 2006»
13 years 8 months ago
PET-Tool: a software suite for comprehensive processing and managing of Paired-End diTag (PET) sequence data
Background: We recently developed the Paired End diTag (PET) strategy for efficient characterization of mammalian transcriptomes and genomes. The paired end nature of short PET se...
Kuo Ping Chiu, Chee-Hong Wong, Qiongyu Chen, Prami...