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» Learning and Inference with Constraints
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GRC
2005
IEEE
16 years 7 days ago
Temporal granular logic for temporal data mining
— In this article, a formalism for a specific temporal data mining task (the discovery of rules, inferred from databases of events having a temporal dimension), is defined. The...
Paul Cotofrei, Kilian Stoffel
ASIAN
1998
Springer
83views Algorithms» more  ASIAN 1998»
15 years 11 months ago
Rigid Reachability
We show that rigid reachability, the non-symmetric form of rigid E-unification, is undecidable already in the case of a single constraint. From this we infer the undecidability of ...
Harald Ganzinger, Florent Jacquemard, Margus Veane...
CDC
2008
IEEE
111views Control Systems» more  CDC 2008»
15 years 8 months ago
A Hamiltonian approximation method for the reduction of controlled systems
Abstract-- This paper considers the problem of model reduction for controlled systems. The paper considers a dual/adjoint formulation of the general optimization problem to minimiz...
Siep Weiland
NIPS
2001
15 years 8 months ago
The Unified Propagation and Scaling Algorithm
In this paper we will show that a restricted class of constrained minimum divergence problems, named generalized inference problems, can be solved by approximating the KL divergen...
Yee Whye Teh, Max Welling
ICIP
2007
IEEE
16 years 28 days ago
Using a Markov Network to Recognize People in Consumer Images
Markov networks are an effective tool for the difficult but important problem of recognizing people in consumer image collections. Given a small set of labeled faces, we seek to ...
Andrew C. Gallagher, Tsuhan Chen