Sciweavers

2623 search results - page 243 / 525
» Universal Learning Theory
Sort
View
AI
1998
Springer
15 years 6 months ago
Model-Based Average Reward Reinforcement Learning
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
Prasad Tadepalli, DoKyeong Ok
ICDM
2009
IEEE
169views Data Mining» more  ICDM 2009»
15 years 4 months ago
Learning the Shared Subspace for Multi-task Clustering and Transductive Transfer Classification
There are many clustering tasks which are closely related in the real world, e.g. clustering the web pages of different universities. However, existing clustering approaches neglec...
Quanquan Gu, Jie Zhou
CADE
2008
Springer
16 years 7 months ago
MaLARea SG1- Machine Learner for Automated Reasoning with Semantic Guidance
This paper describes a system combining model-based and learning-based methods for automated reasoning in large theories, i.e. on a large number of problems that use many axioms, l...
Geoff Sutcliffe, Jirí Vyskocil, Josef Urban...
LATA
2009
Springer
16 years 1 months ago
Prediction of Creole Emergence in Spatial Language Dynamics
Creole is a new born language emerging in most cases where language contact takes place. Simulating behaviors that creole communities are formed in some environments, we could cont...
Makoto Nakamura, Takashi Hashimoto, Satoshi Tojo
ATAL
2004
Springer
16 years 1 days ago
Adaptive, Distributed Control of Constrained Multi-Agent Systems
Product Distribution (PD) theory was recently developed as a framework for analyzing and optimizing distributed systems. In this paper we demonstrate its use for adaptive distribu...
Stefan Bieniawski, David Wolpert