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AAAI
2008
14 years 19 days ago
Incremental Algorithms for Approximate Compilation
Compilation is an important approach to a range of inference problems, since it enables linear-time inference in the size S of the compiled representation. However, the main drawb...
Alberto Venturini, Gregory M. Provan
AMAST
2008
Springer
14 years 9 days ago
A Declarative Debugger for Maude
Abstract. Declarative debugging has been applied to many declarative programming paradigms; in this paper, a declarative debugger for rewriting logic specifications, embodied in th...
Adrián Riesco, Alberto Verdejo, Narciso Mar...
CATA
2008
13 years 11 months ago
Investigation of Random Forest Performance with Cancer Microarray Data
The diagnosis of cancer type based on microarray data offers hope that cancer classification can be highly accurate for clinicians to choose the most appropriate forms of treatmen...
Myungsook Klassen, Matt Cummings, Griselda Saldana
ESANN
2007
13 years 11 months ago
Kernel PCA based clustering for inducing features in text categorization
We study dimensionality reduction or feature selection in text document categorization problem. We focus on the first step in building text categorization systems, that is the cho...
Zsolt Minier, Lehel Csató
NIPS
2007
13 years 11 months ago
A general agnostic active learning algorithm
We present a simple, agnostic active learning algorithm that works for any hypothesis class of bounded VC dimension, and any data distribution. Our algorithm extends a scheme of C...
Sanjoy Dasgupta, Daniel Hsu, Claire Monteleoni