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» Comparison of two approaches to approximated reasoning
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IJACTAICIT
2010
200views more  IJACTAICIT 2010»
13 years 5 months ago
An Intelligent Framework for Natural Object Identification in Images
Human superiority over computers in identifying natural objects like clouds, water, grass etc. comes from two capabilities: the capability to maintain a growing knowledge base per...
Aasia Khanum
CORR
2000
Springer
132views Education» more  CORR 2000»
13 years 7 months ago
Uniform semantic treatment of default and autoepistemic logics
We revisit the issue of epistemological and semantic foundations for autoepistemic and default logics, two leading formalisms in nonmonotonic reasoning. We develop a general seman...
Marc Denecker, Victor W. Marek, Miroslaw Truszczyn...
NIPS
1998
13 years 9 months ago
Finite-Sample Convergence Rates for Q-Learning and Indirect Algorithms
In this paper, we address two issues of long-standing interest in the reinforcement learning literature. First, what kinds of performance guarantees can be made for Q-learning aft...
Michael J. Kearns, Satinder P. Singh
KDD
2000
ACM
149views Data Mining» more  KDD 2000»
13 years 11 months ago
Efficient clustering of high-dimensional data sets with application to reference matching
Many important problems involve clustering large datasets. Although naive implementations of clustering are computationally expensive, there are established efficient techniques f...
Andrew McCallum, Kamal Nigam, Lyle H. Ungar
FAC
2007
128views more  FAC 2007»
13 years 7 months ago
Verifying a signature architecture: a comparative case study
Abstract. We report on a case study in applying different formal methods to model and verify an architecture for administrating digital signatures. The architecture comprises seve...
David A. Basin, Hironobu Kuruma, Kunihiko Miyazaki...