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ICMLA
2009
13 years 8 months ago
Alive on Back-feed Culprit Identification via Machine Learning
We describe an application of machine learning techniques toward the problem of predicting which network protector switch is the cause of an Alive on Back-Feed (ABF) event in the ...
Bert C. Huang, Ansaf Salleb-Aouissi, Philip Gross
ICML
2009
IEEE
14 years 11 months ago
Graph construction and b-matching for semi-supervised learning
Graph based semi-supervised learning (SSL) methods play an increasingly important role in practical machine learning systems. A crucial step in graph based SSL methods is the conv...
Tony Jebara, Jun Wang, Shih-Fu Chang
NIPS
2004
13 years 11 months ago
Schema Learning: Experience-Based Construction of Predictive Action Models
Schema learning is a way to discover probabilistic, constructivist, predictive action models (schemas) from experience. It includes methods for finding and using hidden state to m...
Michael P. Holmes, Charles Lee Isbell Jr.
EACL
2006
ACL Anthology
13 years 11 months ago
Semantic Role Labeling for Coreference Resolution
Extending a machine learning based coreference resolution system with a feature capturing automatically generated information about semantic roles improves its performance.
Simone Paolo Ponzetto, Michael Strube
COLING
2000
13 years 11 months ago
Application of Analogical Modelling to Example Based Machine Translation
This paper describes a self-modelling, incremental algorithm for learning translation rules from existing bilingual corpora. The notions of supracontext and subcontext are extende...
Christos Malavazosi, Stelios Piperidis