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ICDM
2009
IEEE
154views Data Mining» more  ICDM 2009»
15 years 4 months ago
GSML: A Unified Framework for Sparse Metric Learning
There has been significant recent interest in sparse metric learning (SML) in which we simultaneously learn both a good distance metric and a low-dimensional representation. Unfor...
Kaizhu Huang, Yiming Ying, Colin Campbell
IEEECIT
2010
IEEE
15 years 4 months ago
Research on Case Learning System for Engineering Subject - Software Engineering as an Example
—The great appliance of engineering makes it different from other common subjects in teaching methods. This paper puts forward a concept of case learning that is constructed with...
Zhaocheng Wang, Cheng Yang
ICML
2008
IEEE
16 years 7 months ago
Discriminative parameter learning for Bayesian networks
Bayesian network classifiers have been widely used for classification problems. Given a fixed Bayesian network structure, parameters learning can take two different approaches: ge...
Jiang Su, Harry Zhang, Charles X. Ling, Stan Matwi...
ICDM
2005
IEEE
118views Data Mining» more  ICDM 2005»
16 years 10 hour ago
A Heterogeneous Field Matching Method for Record Linkage
Record linkage is the process of determining that two records refer to the same entity. A key subprocess is evaluating how well the individual fields, or attributes, of the recor...
Steven Minton, Claude Nanjo, Craig A. Knoblock, Ma...
SARA
2005
Springer
15 years 12 months ago
Feature-Discovering Approximate Value Iteration Methods
Sets of features in Markov decision processes can play a critical role ximately representing value and in abstracting the state space. Selection of features is crucial to the succe...
Jia-Hong Wu, Robert Givan