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IJCNN
2007
IEEE
15 years 8 months ago
Agnostic Learning versus Prior Knowledge in the Design of Kernel Machines
Abstract— The optimal model parameters of a kernel machine are typically given by the solution of a convex optimisation problem with a single global optimum. Obtaining the best p...
Gavin C. Cawley, Nicola L. C. Talbot
116
Voted
COLT
1999
Springer
15 years 6 months ago
Regret Bounds for Prediction Problems
We present a unified framework for reasoning about worst-case regret bounds for learning algorithms. This framework is based on the theory of duality of convex functions. It brin...
Geoffrey J. Gordon
ACL
1997
15 years 3 months ago
A Theory of Parallelism and the Case of VP Ellipsis
We provide a general account of parallelism in discourse, and apply it to the special case of resolving possible readings for instances of VP ellipsis. We show how several problem...
Jerry R. Hobbs, Andrew Kehler
HPCA
2006
IEEE
16 years 2 months ago
Phase characterization for power: evaluating control-flow-based and event-counter-based techniques
Computer systems increasingly rely on dynamic, phasebased system management techniques, in which system hardware and software parameters may be altered or tuned at runtime for dif...
Canturk Isci, Margaret Martonosi
PODS
2006
ACM
156views Database» more  PODS 2006»
16 years 2 months ago
From statistical knowledge bases to degrees of belief: an overview
An intelligent agent will often be uncertain about various properties of its environment, and when acting in that environment it will frequently need to quantify its uncertainty. ...
Joseph Y. Halpern