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» Making inferences with small numbers of training sets
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COLT
1999
Springer
15 years 4 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
JAIR
2011
103views more  JAIR 2011»
14 years 6 months ago
Automated Search for Impossibility Theorems in Social Choice Theory: Ranking Sets of Objects
We present a method for using standard techniques from satisfiability checking to automatically verify and discover theorems in an area of economic theory known as ranking sets o...
C. Geist, Ulrich Endriss
CAIP
2003
Springer
222views Image Analysis» more  CAIP 2003»
15 years 5 months ago
Learning Statistical Structure for Object Detection
Abstract. Many classes of images exhibit sparse structuring of statistical dependency. Each variable has strong statistical dependency with a small number of other variables and ne...
Henry Schneiderman
CORR
2006
Springer
153views Education» more  CORR 2006»
14 years 11 months ago
Genetic Programming, Validation Sets, and Parsimony Pressure
Fitness functions based on test cases are very common in Genetic Programming (GP). This process can be assimilated to a learning task, with the inference of models from a limited n...
Christian Gagné, Marc Schoenauer, Marc Pari...
LREC
2010
130views Education» more  LREC 2010»
15 years 1 months ago
The Problems of Language Identification within Hugely Multilingual Data Sets
As the data for more and more languages is finding its way into digital form, with an increasing amount of this data being posted to the Web, it has become possible to collect lan...
Fei Xia, Carrie Lewis, William D. Lewis