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JMLR
2002
115views more  JMLR 2002»
15 years 6 months ago
PAC-Bayesian Generalisation Error Bounds for Gaussian Process Classification
Approximate Bayesian Gaussian process (GP) classification techniques are powerful nonparametric learning methods, similar in appearance and performance to support vector machines....
Matthias Seeger
ML
2002
ACM
133views Machine Learning» more  ML 2002»
15 years 6 months ago
Finite-time Analysis of the Multiarmed Bandit Problem
Reinforcement learning policies face the exploration versus exploitation dilemma, i.e. the search for a balance between exploring the environment to find profitable actions while t...
Peter Auer, Nicolò Cesa-Bianchi, Paul Fisch...
ML
2007
ACM
134views Machine Learning» more  ML 2007»
15 years 6 months ago
Status report: the manticore project
The Manticore project is an effort to design and implement a new functional language for parallel programming. Unlike many earlier parallel languages, Manticore is a heterogeneous...
Matthew Fluet, Nic Ford, Mike Rainey, John H. Repp...
PAAPP
2007
115views more  PAAPP 2007»
15 years 6 months ago
Quantum computing: beyond the limits of conventional computation
The quantum model of computation not only o ers entirely new ways to manipulate information, but also allows information processing tasks to be formulated in unconventional, genui...
Marius Nagy, Selim G. Akl
TEC
2008
135views more  TEC 2008»
15 years 6 months ago
Evolving Output Codes for Multiclass Problems
In this paper, we propose an evolutionary approach to the design of output codes for multiclass pattern recognition problems. This approach has the advantage of taking into account...
Nicolás García-Pedrajas, Colin Fyfe