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» Visualization of Labeled Data Using Linear Transformations
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JMLR
2006
99views more  JMLR 2006»
14 years 9 months ago
Worst-Case Analysis of Selective Sampling for Linear Classification
A selective sampling algorithm is a learning algorithm for classification that, based on the past observed data, decides whether to ask the label of each new instance to be classi...
Nicolò Cesa-Bianchi, Claudio Gentile, Luca ...
SDM
2009
SIAM
217views Data Mining» more  SDM 2009»
15 years 6 months ago
A Framework for Exploring Categorical Data.
In this paper, we present a framework for categorical data analysis which allows such data sets to be explored using a rich set of techniques that are only applicable to continuou...
Shyam Boriah, Varun Chandola, Vipin Kumar
89
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DIS
2010
Springer
14 years 8 months ago
ESTATE: Strategy for Exploring Labeled Spatial Datasets Using Association Analysis
Abstract. We propose an association analysis-based strategy for exploration of multi-attribute spatial datasets possessing naturally arising classification. Proposed strategy, EST...
Tomasz F. Stepinski, Josue Salazar, Wei Ding 0003,...
LISP
2002
81views more  LISP 2002»
14 years 9 months ago
Linear Continuation-Passing
Abstract. Continuations can be used to explain a wide variety of control behaviours, including calling/returning (procedures), raising/handling (exceptions), labelled jumping (goto...
Josh Berdine, Peter W. O'Hearn, Uday S. Reddy, Hay...
CAV
2006
Springer
86views Hardware» more  CAV 2006»
15 years 1 months ago
The Power of Hybrid Acceleration
This paper addresses the problem of computing symbolically the set of reachable configurations of a linear hybrid automaton. A solution proposed in earlier work consists in explori...
Bernard Boigelot, Frédéric Herbretea...