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JMLR
2011
187views more  JMLR 2011»
14 years 6 months ago
Exploitation of Machine Learning Techniques in Modelling Phrase Movements for Machine Translation
We propose a distance phrase reordering model (DPR) for statistical machine translation (SMT), where the aim is to learn the grammatical rules and context dependent changes using ...
Yizhao Ni, Craig Saunders, Sándor Szedm&aac...
HCW
1999
IEEE
15 years 4 months ago
Metacomputing with MILAN
The MILAN project, a joint effort involving Arizona State University and New York University, has produced and validated fundamental techniques for the realization of efficient, r...
Arash Baratloo, Partha Dasgupta, Vijay Karamcheti,...
ICML
2007
IEEE
16 years 16 days ago
Multi-task reinforcement learning: a hierarchical Bayesian approach
We consider the problem of multi-task reinforcement learning, where the agent needs to solve a sequence of Markov Decision Processes (MDPs) chosen randomly from a fixed but unknow...
Aaron Wilson, Alan Fern, Soumya Ray, Prasad Tadepa...
ECTEL
2006
Springer
15 years 3 months ago
A Context-Aware Service Oriented Framework for Finding, Recommending and Inserting Learning Objects
In this poster, we will propose a framework for finding, recommending and inserting learning objects in a digital repository level, exploiting the user context that is captured fro...
Xavier Ochoa, Stefaan Ternier, Gonzalo Parra, Erik...
ICALT
2009
IEEE
14 years 9 months ago
Applying Learning Styles to SCORM Compliant Courses
This paper proposes a general framework to develop SCORM compliant courses that provide adaptation according to user learning style. The SCORM standard as well as some of the most...
Ioannis Kazanidis, Maya Satratzemi