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HICSS
2006
IEEE
115views Biometrics» more  HICSS 2006»
15 years 8 months ago
ACLE: A Communication Environment for Asynchronous Collaborative Learning
The popularity of distributed learning and the continued growth in the number of colleges and universities offering courses delivered entirely via asynchronous learning networks (...
Timothy J. Ellis, William Hafner
COLT
2008
Springer
15 years 3 months ago
Does Unlabeled Data Provably Help? Worst-case Analysis of the Sample Complexity of Semi-Supervised Learning
We study the potential benefits to classification prediction that arise from having access to unlabeled samples. We compare learning in the semi-supervised model to the standard, ...
Shai Ben-David, Tyler Lu, Dávid Pál
JUCS
2007
98views more  JUCS 2007»
15 years 1 months ago
Focus of Attention in Reinforcement Learning
Abstract: Classification-based reinforcement learning (RL) methods have recently been proposed as an alternative to the traditional value-function based methods. These methods use...
Lihong Li, Vadim Bulitko, Russell Greiner
NIPS
2004
15 years 3 months ago
Learning first-order Markov models for control
First-order Markov models have been successfully applied to many problems, for example in modeling sequential data using Markov chains, and modeling control problems using the Mar...
Pieter Abbeel, Andrew Y. Ng
UAI
2004
15 years 3 months ago
Bayesian Learning in Undirected Graphical Models: Approximate MCMC Algorithms
Bayesian learning in undirected graphical models--computing posterior distributions over parameters and predictive quantities-is exceptionally difficult. We conjecture that for ge...
Iain Murray, Zoubin Ghahramani