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UAI
2004
15 years 4 months ago
Solving Factored MDPs with Continuous and Discrete Variables
Although many real-world stochastic planning problems are more naturally formulated by hybrid models with both discrete and continuous variables, current state-of-the-art methods ...
Carlos Guestrin, Milos Hauskrecht, Branislav Kveto...
117
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CSDA
2006
82views more  CSDA 2006»
15 years 3 months ago
Nearest neighbours in least-squares data imputation algorithms with different missing patterns
Methods for imputation of missing data in the so-called least-squares approximation approach, a non-parametric computationally efficient multidimensional technique, are experiment...
Ito Wasito, Boris Mirkin
EOR
2006
74views more  EOR 2006»
15 years 3 months ago
A mixed-integer programming approach to multi-class data classification problem
This paper presents a new data classification method based on mixed-integer programming. Traditional approaches that are based on partitioning the data sets into two groups perfor...
Fadime Üney Yüksektepe, Metin Türka...
117
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CORR
2000
Springer
84views Education» more  CORR 2000»
15 years 3 months ago
Robust Classification for Imprecise Environments
In real-world environments it usually is difficult to specify target operating conditions precisely, for example, target misclassification costs. This uncertainty makes building ro...
Foster J. Provost, Tom Fawcett
BIOINFORMATICS
2010
138views more  BIOINFORMATICS 2010»
15 years 3 months ago
Robust unmixing of tumor states in array comparative genomic hybridization data
Motivation: Tumorigenesis is an evolutionary process by which tumor cells acquire sequences of mutations leading to increased growth, invasiveness, and eventually metastasis. It i...
David Tolliver, Charalampos E. Tsourakakis, Ayshwa...