3694 search results - page 2 / 739 » Stochastic complexity in learning |
ALT
1999
Springer
13 years 10 months ago
1999
Springer
We are concerned with the problem of sequential prediction using a givenhypothesis class of continuously-manyprediction strategies. An e ectiveperformance measure is the minimax re...
NN
2006
Springer
13 years 6 months ago
2006
Springer
The way of propagating and control of stochastic signals through Universal Learning Networks (ULNs) and its applications are proposed. ULNs have been already developed to form a s...
ROBOCUP
2007
Springer
14 years 11 days ago
2007
Springer
Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
ECML
2006
Springer
13 years 10 months ago
2006
Springer
Trees provide a suited structural representation to deal with complex tasks such as web information extraction, RNA secondary structure prediction, or conversion of tree structured...
STACS
1999
Springer
13 years 10 months ago
1999
Springer
Abstract. We advocate to analyze the average complexity of learning problems. An appropriate framework for this purpose is introduced. Based on it we consider the problem of learni...