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132
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FOCS
2009
IEEE
15 years 2 months ago
Learning and Smoothed Analysis
We give a new model of learning motivated by smoothed analysis (Spielman and Teng, 2001). In this model, we analyze two new algorithms, for PAC-learning DNFs and agnostically learn...
Adam Tauman Kalai, Alex Samorodnitsky, Shang-Hua T...
119
Voted
JAIR
2011
187views more  JAIR 2011»
14 years 11 months ago
A Monte-Carlo AIXI Approximation
This paper describes a computationally feasible approximation to the AIXI agent, a universal reinforcement learning agent for arbitrary environments. AIXI is scaled down in two ke...
Joel Veness, Kee Siong Ng, Marcus Hutter, William ...
128
Voted
CODES
2002
IEEE
15 years 9 months ago
Symbolic model checking of Dual Transition Petri Nets
This paper describes the formal verification of the recently introduced Dual Transition Petri Net (DTPN) models [12], using model checking techniques. The methodology presented a...
Mauricio Varea, Bashir M. Al-Hashimi, Luis Alejand...
ICSM
2002
IEEE
15 years 9 months ago
Combining Software Quality Predictive Models: An Evolutionary Approach
During the past ten years, a large number of quality models have been proposed in the literature. In general, the goal of these models is to predict a quality factor starting from...
Salah Bouktif, Houari A. Sahraoui, Balázs K...
158
Voted
ACL
2010
15 years 2 months ago
PCFGs, Topic Models, Adaptor Grammars and Learning Topical Collocations and the Structure of Proper Names
This paper establishes a connection between two apparently very different kinds of probabilistic models. Latent Dirichlet Allocation (LDA) models are used as "topic models&qu...
Mark Johnson