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» Visualization of Labeled Data Using Linear Transformations
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JMLR
2006
99views more  JMLR 2006»
15 years 6 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»
16 years 3 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
DIS
2010
Springer
15 years 4 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»
15 years 6 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 10 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...