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ECAI
2008
Springer
13 years 11 months ago
Combining Abduction with Conflict-based Diagnosis
Abstract. Conflict-based diagnosis is a recently proposed probabilistic method for model-based diagnosis, inspired by consistencybased diagnosis, that uses a measure of data confli...
Ildikó Flesch, Peter J. F. Lucas
ICDM
2006
IEEE
146views Data Mining» more  ICDM 2006»
14 years 3 months ago
Boosting Kernel Models for Regression
This paper proposes a general boosting framework for combining multiple kernel models in the context of both classification and regression problems. Our main approach is built on...
Ping Sun, Xin Yao
ICASSP
2010
IEEE
13 years 10 months ago
Algorithms for robust linear regression by exploiting the connection to sparse signal recovery
In this paper, we develop algorithms for robust linear regression by leveraging the connection between the problems of robust regression and sparse signal recovery. We explicitly ...
Yuzhe Jin, Bhaskar D. Rao
ACSW
2004
13 years 11 months ago
Clustering Stream Data by Regression Analysis
In data clustering, many approaches have been proposed such as K-means method and hierarchical method. One of the problems is that the results depend heavily on initial values and...
Masahiro Motoyoshi, Takao Miura, Isamu Shioya
CIKM
2000
Springer
14 years 2 months ago
Boosting for Document Routing
RankBoost is a recently proposed algorithm for learning ranking functions. It is simple to implement and has strong justifications from computational learning theory. We describe...
Raj D. Iyer, David D. Lewis, Robert E. Schapire, Y...