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ICML
2008
IEEE
14 years 9 months ago
Memory bounded inference in topic models
What type of algorithms and statistical techniques support learning from very large datasets over long stretches of time? We address this question through a memory bounded version...
Ryan Gomes, Max Welling, Pietro Perona
LATA
2010
Springer
14 years 1 months ago
Finding Consistent Categorial Grammars of Bounded Value: A Parameterized Approach
Abstract. Kanazawa ([1]) has studied the learnability of several parameterized families of classes of categorial grammars. These classes were shown to be learnable from text, in th...
Christophe Costa Florêncio, Henning Fernau
TIT
2002
164views more  TIT 2002»
13 years 8 months ago
On the generalization of soft margin algorithms
Generalization bounds depending on the margin of a classifier are a relatively recent development. They provide an explanation of the performance of state-of-the-art learning syste...
John Shawe-Taylor, Nello Cristianini
DAC
2006
ACM
14 years 2 days ago
Refined statistical static timing analysis through
Statistical static timing analysis (SSTA) has been a popular research topic in recent years. A fundamental issue with applying SSTA in practice today is the lack of reliable and e...
Benjamin N. Lee, Li-C. Wang, Magdy S. Abadir
ICANNGA
2007
Springer
105views Algorithms» more  ICANNGA 2007»
14 years 2 months ago
Reinforcement Learning in Fine Time Discretization
Reinforcement Learning (RL) is analyzed here as a tool for control system optimization. State and action spaces are assumed to be continuous. Time is assumed to be discrete, yet th...
Pawel Wawrzynski