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ICML
2010
IEEE
13 years 11 months ago
Gaussian Processes Multiple Instance Learning
This paper proposes a multiple instance learning (MIL) algorithm for Gaussian processes (GP). The GP-MIL model inherits two crucial benefits from GP: (i) a principle manner of lea...
Minyoung Kim, Fernando De la Torre
SIGCOMM
1994
ACM
14 years 2 months ago
Experiences with a High-Speed Network Adaptor: A Software Perspective
This paper describes our experiences, from a software perspective, with the OSIRIS network adaptor. It first identifies the problems we encountered while programming OSIRIS and op...
Peter Druschel, Larry L. Peterson, Bruce S. Davie
ECML
2004
Springer
14 years 3 months ago
Learning from Message Pairs for Automatic Email Answering
Abstract. We consider the problem of learning a mapping from question to answer messages. The training data for this problem consist of pairs of messages that have been received an...
Steffen Bickel, Tobias Scheffer
ECAI
2004
Springer
14 years 3 months ago
Learning Techniques for Automatic Algorithm Portfolio Selection
The purpose of this paper is to show that a well known machine learning technique based on Decision Trees can be effectively used to select the best approach (in terms of efficien...
Alessio Guerri, Michela Milano
CORR
2007
Springer
111views Education» more  CORR 2007»
13 years 10 months ago
A New Perspective on Multi-user Power Control Games in Interference Channels
This paper considers the problem of how to allocate power among competing users sharing a frequency-selective interference channel. We model the interaction between these selfish ...
Yi Su, Mihaela van der Schaar