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ICDM
2005
IEEE
161views Data Mining» more  ICDM 2005»
15 years 8 months ago
Making Logistic Regression a Core Data Mining Tool with TR-IRLS
Binary classification is a core data mining task. For large datasets or real-time applications, desirable classifiers are accurate, fast, and need no parameter tuning. We presen...
Paul Komarek, Andrew W. Moore
127
Voted
INFOCOM
2005
IEEE
15 years 8 months ago
Perfect simulation and stationarity of a class of mobility models
— We define “random trip", a generic mobility model for independent mobiles that contains as special cases: the random waypoint on convex or non convex domains, random wa...
Jean-Yves Le Boudec, Milan Vojnovic
152
Voted
MIR
2004
ACM
171views Multimedia» more  MIR 2004»
15 years 7 months ago
Mean version space: a new active learning method for content-based image retrieval
In content-based image retrieval, relevance feedback has been introduced to narrow the gap between low-level image feature and high-level semantic concept. Furthermore, to speed u...
Jingrui He, Hanghang Tong, Mingjing Li, HongJiang ...
124
Voted
TACAS
2004
Springer
122views Algorithms» more  TACAS 2004»
15 years 7 months ago
A Scalable Incomplete Test for the Boundedness of UML RT Models
Abstract. We describe a scalable incomplete boundedness test for the communication buffers in UML RT models. UML RT is a variant of the UML modeling language, tailored to describin...
Stefan Leue, Richard Mayr, Wei Wei
99
Voted
ICS
2003
Tsinghua U.
15 years 7 months ago
Estimating cache misses and locality using stack distances
Cache behavior modeling is an important part of modern optimizing compilers. In this paper we present a method to estimate the number of cache misses, at compile time, using a mac...
Calin Cascaval, David A. Padua