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» Modeling When Connections Are the Problem
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NIPS
2004
15 years 6 months ago
Semi-supervised Learning by Entropy Minimization
We consider the semi-supervised learning problem, where a decision rule is to be learned from labeled and unlabeled data. In this framework, we motivate minimum entropy regulariza...
Yves Grandvalet, Yoshua Bengio
ICRA
2007
IEEE
142views Robotics» more  ICRA 2007»
15 years 11 months ago
Hybrid Model Predictive Control for Stabilization of Wheeled Mobile Robots Subject to Wheel Slippage
— This paper studies the problem of stabilizing wheeled mobile robots (WMRs) subject to wheel slippage to a predefined set. When slippage of the wheels can occur, WMRs can be mo...
Shangming Wei, Milos Zefran, Kasemsak Uthaichana, ...
FORMATS
2007
Springer
15 years 11 months ago
Quantitative Model Checking Revisited: Neither Decidable Nor Approximable
Abstract. Quantitative model checking computes the probability values of a given property quantifying over all possible schedulers. It turns out that maximum and minimum probabilit...
Sergio Giro, Pedro R. D'Argenio
WONTO
2008
15 years 6 months ago
A Service-Oriented Architecture to Support Agent Reputation Models Interoperability
Agents are becoming a popular technology for the development of distributed, heterogeneous and always available systems. In those systems, interactions are essential, but semantic ...
Luis G. Nardin, Anarosa Brandão, Jaime Sim&...
COLING
1996
15 years 6 months ago
A Computational Model of Incremental Utterance Production in Task-Oriented Dialogues
This paper presents a comtmtational model of incremental utterance production in task-oriented dialogues. This model incrementally produces utterantes to propose the solution of a...
Kohji Dohsaka, Akira Shimazu