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» Using Problems to Learn Service-Oriented Computing
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IMC
2007
ACM
15 years 6 months ago
Learning network structure from passive measurements
The ability to discover network organization, whether in the form of explicit topology reconstruction or as embeddings that approximate topological distance, is a valuable tool. T...
Brian Eriksson, Paul Barford, Robert Nowak, Mark C...
COLT
2010
Springer
15 years 3 months ago
An Asymptotically Optimal Bandit Algorithm for Bounded Support Models
Multiarmed bandit problem is a typical example of a dilemma between exploration and exploitation in reinforcement learning. This problem is expressed as a model of a gambler playi...
Junya Honda, Akimichi Takemura
ITICSE
2003
ACM
15 years 10 months ago
Teaching programming to liberal arts students: a narrative media approach
In this paper we present a new learning environment to be used in an introductory programming course for students that are non-majors in computer science, more precisely for multi...
Peter Bøgh Andersen, Jens Bennedsen, Steffe...
UAI
2000
15 years 6 months ago
Gaussian Process Networks
In this paper we address the problem of learning the structure of a Bayesian network in domains with continuous variables. This task requires a procedure for comparing different c...
Nir Friedman, Iftach Nachman
ESSMAC
2003
Springer
15 years 10 months ago
Analysis of Some Methods for Reduced Rank Gaussian Process Regression
Abstract. While there is strong motivation for using Gaussian Processes (GPs) due to their excellent performance in regression and classification problems, their computational com...
Joaquin Quiñonero Candela, Carl Edward Rasm...