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ICADL
2007
Springer
167views Education» more  ICADL 2007»
16 years 1 months ago
Content-Based Language Learning in a Digital Library
Digital libraries have untapped potential for supporting language teaching and learning. This paper describes a new scheme for automating topicspecific language learning using a sp...
Shaoqun Wu, Ian H. Witten
AI
2010
Springer
16 years 13 days ago
Supervised Machine Learning for Summarizing Legal Documents
This paper presents a supervised machine learning approach for summarizing legal documents. A commercial system for the analysis and summarization of legal documents provided us wi...
Mehdi Yousfi Monod, Atefeh Farzindar, Guy Lapalme
COLT
2000
Springer
15 years 12 months ago
Estimation and Approximation Bounds for Gradient-Based Reinforcement Learning
We model reinforcement learning as the problem of learning to control a Partially Observable Markov Decision Process (  ¢¡¤£¦¥§  ), and focus on gradient ascent approache...
Peter L. Bartlett, Jonathan Baxter
BIRTHDAY
1997
Springer
15 years 11 months ago
The Job Assignment Problem: A Study in Parallel and Distributed Machine Learning
This article describes a parallel and distributed machine learning approach to a basic variant of the job assignment problem. The approach is in the line of the multiagent learning...
Gerhard Weiß
KDD
1997
ACM
109views Data Mining» more  KDD 1997»
15 years 11 months ago
Beyond Concise and Colorful: Learning Intelligible Rules
A variety of techniques from statistics, signal processing, pattern recognition, machine learning, and neural networks have been proposed to understand data by discovering useful ...
Michael J. Pazzani, Subramani Mani, William Rodman...