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» On the Complexity of Train Assignment Problems
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IUI
2009
ACM
16 years 21 days ago
Learning to generalize for complex selection tasks
Selection tasks are common in modern computer interfaces: we are often required to select a set of files, emails, data entries, and the like. File and data browsers have sorting a...
Alan Ritter, Sumit Basu
TMC
2002
106views more  TMC 2002»
15 years 3 months ago
Optimal Resource Management in Wireless Multimedia Wideband CDMA Systems
This paper proposes a scheme of optimal resource management for reverse-link transmissions in multimedia wideband code-division multiple-access (WCDMA) communications. It is to gua...
Majid Soleimanipour, Weihua Zhuang, George H. Free...
AAAI
2006
15 years 5 months ago
Exploring GnuGo's Evaluation Function with a SVM
While computers have defeated the best human players in many classic board games, progress in Go remains elusive. The large branching factor in the game makes traditional adversar...
Christopher Fellows, Yuri Malitsky, Gregory Wojtas...
NIPS
1994
15 years 5 months ago
Efficient Methods for Dealing with Missing Data in Supervised Learning
We present efficient algorithms for dealing with the problem of missing inputs (incomplete feature vectors) during training and recall. Our approach is based on the approximation ...
Volker Tresp, Ralph Neuneier, Subutai Ahmad
ICML
2004
IEEE
16 years 4 months ago
Semi-supervised learning using randomized mincuts
In many application domains there is a large amount of unlabeled data but only a very limited amount of labeled training data. One general approach that has been explored for util...
Avrim Blum, John D. Lafferty, Mugizi Robert Rweban...