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» A framework for comparing models of computation
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SDM
2003
SIAM
125views Data Mining» more  SDM 2003»
15 years 6 months ago
Scalable, Balanced Model-based Clustering
This paper presents a general framework for adapting any generative (model-based) clustering algorithm to provide balanced solutions, i.e., clusters of comparable sizes. Partition...
Shi Zhong, Joydeep Ghosh
141
Voted
AIME
2003
Springer
15 years 9 months ago
Ontology for Task-Based Clinical Guidelines and the Theory of Granular Partitions
The theory of granular partitions (TGP) is a new approach to the understanding of ontologies and other classificatory systems. The paper explores the use of this new theory in the ...
Anand Kumar, Barry Smith
ECP
1997
Springer
130views Robotics» more  ECP 1997»
15 years 8 months ago
Encoding Planning Problems in Nonmonotonic Logic Programs
We present a framework for encoding planning problems in logic programs with negation as failure, having computational e ciency as our major consideration. In order to accomplish o...
Yannis Dimopoulos, Bernhard Nebel, Jana Koehler
SIGDIAL
2010
15 years 2 months ago
Probabilistic Ontology Trees for Belief Tracking in Dialog Systems
We introduce a novel approach for robust belief tracking of user intention within a spoken dialog system. The space of user intentions is modeled by a probabilistic extension of t...
Neville Mehta, Rakesh Gupta, Antoine Raux, Deepak ...
USS
2010
15 years 2 months ago
P4P: Practical Large-Scale Privacy-Preserving Distributed Computation Robust against Malicious Users
In this paper we introduce a framework for privacypreserving distributed computation that is practical for many real-world applications. The framework is called Peers for Privacy ...
Yitao Duan, NetEase Youdao, John Canny, Justin Z. ...