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IJCAI
2007
15 years 8 months ago
Learning to Identify Unexpected Instances in the Test Set
Traditional classification involves building a classifier using labeled training examples from a set of predefined classes and then applying the classifier to classify test instan...
Xiaoli Li, Bing Liu, See-Kiong Ng
CORR
2010
Springer
112views Education» more  CORR 2010»
15 years 4 months ago
Optimal Distributed Online Prediction using Mini-Batches
Online prediction methods are typically presented as serial algorithms running on a single processor. However, in the age of web-scale prediction problems, it is increasingly comm...
Ofer Dekel, Ran Gilad-Bachrach, Ohad Shamir, Lin X...
MOBIHOC
2008
ACM
16 years 6 months ago
Optimal relay assignment for cooperative communications
Recently, cooperative communications, in the form of keeping each node with a single antenna and having a node exploit a relay node's antenna, is shown to be a promising appr...
Yi Shi, Sushant Sharma, Y. Thomas Hou, Sastry Komp...
ICML
2004
IEEE
16 years 7 months ago
Predictive automatic relevance determination by expectation propagation
In many real-world classification problems the input contains a large number of potentially irrelevant features. This paper proposes a new Bayesian framework for determining the r...
Yuan (Alan) Qi, Thomas P. Minka, Rosalind W. Picar...
INFOCOM
2009
IEEE
16 years 1 months ago
Distributed Non-Autonomous Power Control through Distributed Convex Optimization
— We consider the uplink power control problem where mobile users in different cells are communicating with their base stations. We formulate the power control problem as the min...
Sundhar Srinivasan Ram, Venugopal V. Veeravalli, A...