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» Learning Abstraction Hierarchies for Problem Solving
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ICCBR
2009
Springer
14 years 3 months ago
An Active Approach to Automatic Case Generation
Abstract. When learning by observing an expert, cases can be automatically generated in an inexpensive manner. However, since this is a passive method of learning the observer has ...
Michael W. Floyd, Babak Esfandiari
NIPS
2003
13 years 10 months ago
Hierarchical Topic Models and the Nested Chinese Restaurant Process
We address the problem of learning topic hierarchies from data. The model selection problem in this domain is daunting—which of the large collection of possible trees to use? We...
David M. Blei, Thomas L. Griffiths, Michael I. Jor...
EUROCRYPT
2006
Springer
14 years 9 days ago
Learning a Parallelepiped: Cryptanalysis of GGH and NTRU Signatures
Abstract. Lattice-based signature schemes following the GoldreichGoldwasser-Halevi (GGH) design have the unusual property that each signature leaks information on the signer's...
Phong Q. Nguyen, Oded Regev
WEBI
2005
Springer
14 years 2 months ago
An Adaptive Architecture for Physical Agents
In this paper we describe ICARUS, an adaptive architecture for intelligent physical agents. We contrast the framework’s assumptions with those of earlier architectures, taking e...
Pat Langley
RECOMB
2010
Springer
13 years 10 months ago
Leveraging Sequence Classification by Taxonomy-Based Multitask Learning
In this work we consider an inference task that biologists are very good at: deciphering biological processes by bringing together knowledge that has been obtained by experiments u...
Christian Widmer, Jose Leiva, Yasemin Altun, Gunna...