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SBIA
2004
Springer
15 years 11 months ago
Learning with Class Skews and Small Disjuncts
One of the main objectives of a Machine Learning – ML – system is to induce a classifier that minimizes classification errors. Two relevant topics in ML are the understanding...
Ronaldo C. Prati, Gustavo E. A. P. A. Batista, Mar...
MOBIHOC
2009
ACM
16 years 7 months ago
Predict and relay: an efficient routing in disruption-tolerant networks
Routing is one of the most challenging open problems in disruption-tolerant networks (DTNs) because of the shortlived wireless connectivity environment. To deal with this issue, r...
Quan Yuan, Ionut Cardei, Jie Wu
CJ
2004
119views more  CJ 2004»
15 years 6 months ago
Building Footprint Simplification Techniques and Their Effects on Radio Propagation Predictions
Building footprint simplification is of critical importance to radio propagation predictions in wireless communication systems as the prediction time is closely related to the num...
Zhongqiang Chen, Alex Delis, Henry L. Bertoni
ACL
2007
15 years 8 months ago
Learning Synchronous Grammars for Semantic Parsing with Lambda Calculus
This paper presents the first empirical results to our knowledge on learning synchronous grammars that generate logical forms. Using statistical machine translation techniques, a...
Yuk Wah Wong, Raymond J. Mooney
NIPS
2001
15 years 7 months ago
Learning a Gaussian Process Prior for Automatically Generating Music Playlists
This paper presents AutoDJ: a system for automatically generating music playlists based on one or more seed songs selected by a user. AutoDJ uses Gaussian Process Regression to le...
John C. Platt, Christopher J. C. Burges, S. Swenso...