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» Hedging predictions in machine learning
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ALT
2008
Springer
15 years 6 months ago
Some Sufficient Conditions on an Arbitrary Class of Stochastic Processes for the Existence of a Predictor
Abstract. We consider the problem of sequence prediction in a probabilistic setting. Let there be given a class C of stochastic processes (probability measures on the set of one-wa...
Daniil Ryabko
GECCO
2000
Springer
143views Optimization» more  GECCO 2000»
15 years 8 months ago
A Genetic Algorithm for Automatically Designing Modular Reinforcement Learning Agents
Reinforcement learning (RL) is one of the machine learning techniques and has been received much attention as a new self-adaptive controller for various systems. The RL agent auto...
Isao Ono, Tetsuo Nijo, Norihiko Ono
ALT
2004
Springer
15 years 8 months ago
Applications of Regularized Least Squares to Classification Problems
Abstract. We present a survey of recent results concerning the theoretical and empirical performance of algorithms for learning regularized least-squares classifiers. The behavior ...
Nicolò Cesa-Bianchi
DIS
2006
Springer
15 years 8 months ago
A Pragmatic Logic of Scientific Discovery
Abstract. To the best of our knowledge, this paper is the first attempt to formalise a pragmatic logic of scientific discovery in a manner such that it can be realised by scientist...
Jean Sallantin, Christopher Dartnell, Mohammad Afs...
ACL
2003
15 years 6 months ago
Finding Non-local Dependencies: Beyond Pattern Matching
We describe an algorithm for recovering non-local dependencies in syntactic dependency structures. The patternmatching approach proposed by Johnson (2002) for a similar task for p...
Valentin Jijkoun