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ICDAR
2005
IEEE
14 years 1 months ago
Text/Graphic labelling of Ancient Printed Documents
This paper presents a text/graphic labelling for ancient printed documents. Our approach is based on the extraction and the quantification of the various orientations that are pre...
Nicholas Journet, Véronique Eglin, Jean-Yve...
CHI
2004
ACM
14 years 8 months ago
Common sense investing: bridging the gap between expert and novice
In this paper, we describe Common Sense Investing (CSI), an interactive investment tool that uses a knowledge base of common sense statements in conjunction with domain knowledge ...
Ashwani Kumar, Sharad C. Sundararajan, Henry Liebe...
KDD
2006
ACM
118views Data Mining» more  KDD 2006»
14 years 8 months ago
Reducing the human overhead in text categorization
Many applications in text processing require significant human effort for either labeling large document collections (when learning statistical models) or extrapolating rules from...
Arnd Christian König, Eric Brill
FOCS
1990
IEEE
13 years 11 months ago
Separating Distribution-Free and Mistake-Bound Learning Models over the Boolean Domain
Two of the most commonly used models in computational learning theory are the distribution-free model in which examples are chosen from a fixed but arbitrary distribution, and the ...
Avrim Blum
GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
13 years 11 months ago
Evolutionary learning with kernels: a generic solution for large margin problems
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...
Ingo Mierswa