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EELC
2006
126views Languages» more  EELC 2006»
15 years 8 months ago
Cross-Situational Learning: A Mathematical Approach
Abstract. We present a mathematical model of cross-situational learning, in which we quantify the learnability of words and vocabularies. We find that high levels of uncertainty ar...
Kenny Smith, Andrew D. M. Smith, Richard A. Blythe...
168
Voted
ML
2008
ACM
174views Machine Learning» more  ML 2008»
15 years 4 months ago
ALLPAD: approximate learning of logic programs with annotated disjunctions
In this paper we present the system ALLPAD for learning Logic Programs with Annotated Disjunctions (LPADs). ALLPAD modifies the previous system LLPAD in order to tackle real world ...
Fabrizio Riguzzi
SIGIR
2012
ACM
13 years 7 months ago
Parallelizing ListNet training using spark
As ever-larger training sets for learning to rank are created, scalability of learning has become increasingly important to achieving continuing improvements in ranking accuracy [...
Shilpa Shukla, Matthew Lease, Ambuj Tewari
ACL
2012
13 years 7 months ago
Improving Word Representations via Global Context and Multiple Word Prototypes
Unsupervised word representations are very useful in NLP tasks both as inputs to learning algorithms and as extra word features in NLP systems. However, most of these models are b...
Eric H. Huang, Richard Socher, Christopher D. Mann...
CDC
2010
IEEE
117views Control Systems» more  CDC 2010»
14 years 12 months ago
A symmetric structure of variational and adjoint systems of stochastic Hamiltonian systems
Abstract-- The authors have extended deterministic portHamiltonian systems into stochastic dynamical systems which are described by stochastic differential equations written in the...
Satoshi Satoh, Kenji Fujimoto