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AAAI
2006
13 years 9 months ago
Unifying Logical and Statistical AI
Intelligent agents must be able to handle the complexity and uncertainty of the real world. Logical AI has focused mainly on the former, and statistical AI on the latter. Markov l...
Pedro Domingos, Stanley Kok, Hoifung Poon, Matthew...
LICS
1997
IEEE
13 years 11 months ago
The Complexity of Subtype Entailment for Simple Types
A subtyping 0 is entailed by a set of subtyping constraints C, written C j= 0, if every valuation (mapping of type variables to ground types) that satisfies C also satisfies 0. ...
Fritz Henglein, Jakob Rehof
FOSSACS
2007
Springer
14 years 1 months ago
On the Expressiveness and Complexity of ATL
ATL is a temporal logic geared towards the specification and verification of properties in multi-agents systems. It allows to reason on the existence of strategies for coalitions...
François Laroussinie, Nicolas Markey, Ghass...
ECAI
2004
Springer
14 years 28 days ago
Learning Complex and Sparse Events in Long Sequences
The Hierarchical Hidden Markov Model (HHMM) is a well formalized tool suitable to model complex patterns in long temporal or spatial sequences. Even if effective algorithms are ava...
Marco Botta, Ugo Galassi, Attilio Giordana
CVIU
2007
193views more  CVIU 2007»
13 years 7 months ago
Interpretation of complex scenes using dynamic tree-structure Bayesian networks
This paper addresses the problem of object detection and recognition in complex scenes, where objects are partially occluded. The approach presented herein is based on the hypothe...
Sinisa Todorovic, Michael C. Nechyba