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COLING
2008
14 years 11 months ago
Scaling up Analogical Learning
Recent years have witnessed a growing interest in analogical learning for NLP applications. If the principle of analogical learning is quite simple, it does involve complex steps ...
Philippe Langlais, François Yvon
CORR
2008
Springer
101views Education» more  CORR 2008»
14 years 9 months ago
Cognitive networks achieve throughput scaling of a homogeneous network
We study two distinct, but overlapping, networks which operate at the same time, space and frequency. The first network consists of
Sang-Woon Jeon, Natasha Devroye, Mai Vu, Sae-Young...
MOC
2000
79views more  MOC 2000»
14 years 9 months ago
Computational scales of Sobolev norms with application to preconditioning
Abstract. This paper provides a framework for developing computationally efficient multilevel preconditioners and representations for Sobolev norms. Specifically, given a Hilbert s...
James H. Bramble, Joseph E. Pasciak, Panayot Vassi...
ACMACE
2005
ACM
14 years 11 months ago
Game space design foundations for trans-reality games
Trans-reality games are games that take advantage of pervasive, mobile, ubiquitous, location-based and mixed reality technical infrastructures to create game spaces that can inclu...
Craig A. Lindley
AAAI
2012
13 years 4 days ago
Planning in Factored Action Spaces with Symbolic Dynamic Programming
We consider symbolic dynamic programming (SDP) for solving Markov Decision Processes (MDP) with factored state and action spaces, where both states and actions are described by se...
Aswin Raghavan, Saket Joshi, Alan Fern, Prasad Tad...