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» Algorithms for Categorical Equivalence
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STOC
1997
ACM
97views Algorithms» more  STOC 1997»
15 years 2 months ago
Using and Combining Predictors That Specialize
Abstract. We study online learning algorithms that predict by combining the predictions of several subordinate prediction algorithms, sometimes called “experts.” These simple a...
Yoav Freund, Robert E. Schapire, Yoram Singer, Man...
CSCWD
2001
Springer
15 years 2 months ago
Update Algorithms for the Sketch Data Model
The authors have developed a new approach to database interoperability using the sketch data model. That technique has now been used in a number of applications, but an important ...
Michael Johnson, Robert D. Rosebrugh
BMCBI
2008
142views more  BMCBI 2008»
14 years 10 months ago
Genetic weighted k-means algorithm for clustering large-scale gene expression data
Background: The traditional (unweighted) k-means is one of the most popular clustering methods for analyzing gene expression data. However, it suffers three major shortcomings. It...
Fang-Xiang Wu
COMSUR
2006
84views more  COMSUR 2006»
14 years 10 months ago
A survey of handover algorithms in DVB-H
Digital Video Broadcasting for Handhelds (DVB-H) is a standard for broadcasting IP Datacast (IPDC) services to mobile handheld terminals. Based on the DVB-T standard, DVB-H adds n...
Xiaodong Yang, Jani Väre, Thomas J. Owens
ICCV
2003
IEEE
15 years 12 months ago
Context-based vision system for place and object recognition
While navigating in an environment, a vision system has to be able to recognize where it is and what the main objects in the scene are. In this paper we present a contextbased vis...
Antonio B. Torralba, Kevin P. Murphy, William T. F...