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» Learning and Generalization with the Information Bottleneck
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KDD
2003
ACM
122views Data Mining» more  KDD 2003»
16 years 7 months ago
Understanding captions in biomedical publications
From the standpoint of the automated extraction of scientific knowledge, an important but little-studied part of scientific publications are the figures and accompanying captions....
William W. Cohen, Richard C. Wang, Robert F. Murph...
SIGCSE
2010
ACM
181views Education» more  SIGCSE 2010»
16 years 1 months ago
Teaching the principles of the hacker curriculum to undergraduates
The “Hacker Curriculum” exists as a mostly undocumented set of principles and methods for learning about information security. Hacking, in our view, is defined by the ability...
Sergey Bratus, Anna Shubina, Michael E. Locasto
GECCO
2007
Springer
228views Optimization» more  GECCO 2007»
16 years 24 days ago
Collective behavior based hierarchical XCS
This paper attempts to extend the XCS research by analyzing the impact of information exchange between XCS agents on classifier performance. Two types of information are exchange...
Matthew Gershoff, Sonia Schulenburg
SIGIR
2002
ACM
15 years 6 months ago
Liberal relevance criteria of TREC -: counting on negligible documents?
Most test collections (like TREC and CLEF) for experimental research in information retrieval apply binary relevance assessments. This paper introduces a four-point relevance scal...
Eero Sormunen
CIKM
2004
Springer
16 years 1 days ago
Hierarchical document categorization with support vector machines
Automatically categorizing documents into pre-defined topic hierarchies or taxonomies is a crucial step in knowledge and content management. Standard machine learning techniques ...
Lijuan Cai, Thomas Hofmann