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» Approximate Objects and Approximate Theories
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BMCBI
2010
158views more  BMCBI 2010»
15 years 6 months ago
Validation of differential gene expression algorithms: Application comparing fold-change estimation to hypothesis testing
Background: Sustained research on the problem of determining which genes are differentially expressed on the basis of microarray data has yielded a plethora of statistical algorit...
Corey M. Yanofsky, David R. Bickel
JACM
2006
99views more  JACM 2006»
15 years 6 months ago
Finding a maximum likelihood tree is hard
Abstract. Maximum likelihood (ML) is an increasingly popular optimality criterion for selecting evolutionary trees [Felsenstein 1981]. Finding optimal ML trees appears to be a very...
Benny Chor, Tamir Tuller
SIGIR
2008
ACM
15 years 6 months ago
Query dependent ranking using K-nearest neighbor
Many ranking models have been proposed in information retrieval, and recently machine learning techniques have also been applied to ranking model construction. Most of the existin...
Xiubo Geng, Tie-Yan Liu, Tao Qin, Andrew Arnold, H...
TELSYS
2002
131views more  TELSYS 2002»
15 years 6 months ago
Call Blocking Performance Study for PCS Networks under More Realistic Mobility Assumptions
Abstract. In the micro-cell-based PCS networks, due to the high user mobility, handoffs occur more frequently. Hence, the classical assumptions, such as the exponential assumptions...
Helen Zeng, Yuguang Fang, Imrich Chlamtac
AAMAS
2011
Springer
15 years 1 months ago
Aggregating value ranges: preference elicitation and truthfulness
We study the case where agents have preferences over ranges (intervals) of values, and we wish to elicit and aggregate these preferences. For example, consider a set of climatologi...
Joseph Farfel, Vincent Conitzer