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» Online Dynamic Value System for Machine Learning
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HICSS
2005
IEEE
166views Biometrics» more  HICSS 2005»
15 years 8 months ago
Prototyping the Emergence of Collaborative Knowledge
E-learning growth is driven by global, societal, and technological changes that both enable and require increased worker and learner mobility, access to distributed domain experti...
Rita M. Vick, Apperson H. Johnson
101
Voted
MT
2002
107views more  MT 2002»
15 years 2 months ago
Translation with Scarce Bilingual Resources
Machine translation of human languages is a field almost as old as computers themselves. Recent approaches to this challenging problem aim at learning translation knowledge automat...
Yaser Al-Onaizan, Ulrich Germann, Ulf Hermjakob, K...
102
Voted
KDD
2005
ACM
107views Data Mining» more  KDD 2005»
15 years 8 months ago
Predicting the product purchase patterns of corporate customers
This paper describes TIPPPS (Time Interleaved Product Purchase Prediction System), which analyses billing data of corporate customers in a large telecommunications company in orde...
Bhavani Raskutti, Alan Herschtal
182
Voted
SAGA
2009
Springer
15 years 9 months ago
Bounds for Multistage Stochastic Programs Using Supervised Learning Strategies
We propose a generic method for obtaining quickly good upper bounds on the minimal value of a multistage stochastic program. The method is based on the simulation of a feasible dec...
Boris Defourny, Damien Ernst, Louis Wehenkel
107
Voted
ECML
2006
Springer
15 years 6 months ago
PAC-Learning of Markov Models with Hidden State
The standard approach for learning Markov Models with Hidden State uses the Expectation-Maximization framework. While this approach had a significant impact on several practical ap...
Ricard Gavaldà, Philipp W. Keller, Joelle P...