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» Evaluating learning algorithms and classifiers
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JMLR
2006
206views more  JMLR 2006»
15 years 4 months ago
New Algorithms for Efficient High-Dimensional Nonparametric Classification
This paper is about non-approximate acceleration of high-dimensional nonparametric operations such as k nearest neighbor classifiers. We attempt to exploit the fact that even if w...
Ting Liu, Andrew W. Moore, Alexander G. Gray
137
Voted
AIME
2005
Springer
15 years 6 months ago
An Algorithm to Learn Causal Relations Between Genes from Steady State Data: Simulation and Its Application to Melanoma Dataset
In recent years, a few researchers have challenged past dogma and suggested methods (such as the IC algorithm) for inferring causal relationship among variables using steady state ...
Xin Zhang, Chitta Baral, Seungchan Kim
123
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FLAIRS
2008
15 years 6 months ago
Analyzing Dialog Coherence Using Transition Patterns in Lexical and Semantic Features
In this paper, we present methods to analyze dialog coherence that help us to automatically distinguish between coherent and incoherent conversations. We build a machine learning ...
Amruta Purandare, Diane J. Litman
WSDM
2010
ACM
210views Data Mining» more  WSDM 2010»
16 years 1 months ago
Towards Recency Ranking in Web Search
In web search, recency ranking refers to ranking documents by relevance which takes freshness into account. In this paper, we propose a retrieval system which automatically detect...
Anlei Dong, Yi Chang, Zhaohui Zheng, Gilad Mishne,...
BIBM
2009
IEEE
192views Bioinformatics» more  BIBM 2009»
15 years 11 months ago
A Multi-task Feature Selection Filter for Microarray Classification
A major challenge in microarray classification and biomarker discovery is dealing with small-sample high-dimensional data where the number of genes used as features is typically o...
Liang Lan, Slobodan Vucetic