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NAACL
2007
13 years 9 months ago
Data-Driven Graph Construction for Semi-Supervised Graph-Based Learning in NLP
Graph-based semi-supervised learning has recently emerged as a promising approach to data-sparse learning problems in natural language processing. All graph-based algorithms rely ...
Andrei Alexandrescu, Katrin Kirchhoff
ECML
2004
Springer
14 years 1 months ago
Batch Reinforcement Learning with State Importance
Abstract. We investigate the problem of using function approximation in reinforcement learning where the agent’s policy is represented as a classifier mapping states to actions....
Lihong Li, Vadim Bulitko, Russell Greiner
GIS
1992
ACM
14 years 15 days ago
Machine Induction of Geospatial Knowledge
Machine learning techniques such as tree induction have become accepted tools for developing generalisations of large data sets, typically for use with production rule systems in p...
Peter A. Whigham, Robert I. McKay, J. R. Davis
SARA
2005
Springer
14 years 1 months ago
Approximate Model-Based Diagnosis Using Preference-Based Compilation
Abstract. This article introduces a technique for improving the efficiency of diagnosis through approximate compilation. We extend the approach of compiling a diagnostic model, as...
Gregory M. Provan
P2PKM
2004
13 years 9 months ago
A Space-Efficient Model for Sharing Personal Knowledge Objects in Peer Communities
Abstract. In the future it is likely that peer communities will be routinely established for the purpose of sharing electronic resources and targeted information among groups of pe...
Fred S. Annexstein, Kenneth A. Berman