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FOCS
2009
IEEE
15 years 4 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...
JAIR
2011
187views more  JAIR 2011»
15 years 1 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 ...
CODES
2002
IEEE
15 years 11 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 11 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...
ACL
2010
15 years 4 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