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ICTAI
2008
IEEE
15 years 6 months ago
Using Imputation Techniques to Help Learn Accurate Classifiers
It is difficult to learn good classifiers when training data is missing attribute values. Conventional techniques for dealing with such omissions, such as mean imputation, general...
Xiaoyuan Su, Taghi M. Khoshgoftaar, Russell Greine...
84
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ECAI
2004
Springer
15 years 5 months ago
Improving Asynchronous Backtracking for Dealing with Complex Local Problems
Distributed constraint satisfaction, in its most general acceptation, involves a collection of agents solving local constraint satisfaction subproblems, and a communication protoco...
Arnold Maestre, Christian Bessière
SIGIR
2010
ACM
14 years 12 months ago
Learning to rank query reformulations
Query reformulation techniques based on query logs have recently proven to be effective for web queries. However, when initial queries have reasonably good quality, these techniqu...
Van Dang, Michael Bendersky, W. Bruce Croft
TEC
2002
133views more  TEC 2002»
14 years 11 months ago
Learning and optimization using the clonal selection principle
The clonal selection principle is used to explain the basic features of an adaptive immune response to an antigenic stimulus. It establishes the idea that only those cells that rec...
Leandro Nunes de Castro, Fernando J. Von Zuben
CAIP
2009
Springer
246views Image Analysis» more  CAIP 2009»
15 years 6 months ago
Human Age Estimation by Metric Learning for Regression Problems
Abstract. The estimation of human age from face images is an interesting problem in computer vision. We proposed a general distance metric learning scheme for regression problems, ...
Yangjing Long