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AUTOMATICA
2000
67views more  AUTOMATICA 2000»
15 years 4 months ago
Stability analysis of learning feed-forward control
In this paper, a learning control system is considered for motion systems that are subject to two types of disturbances; reproducible disturbances, that re-occur each run in the s...
Wubbe J. R. Velthuis, Theo J. A. de Vries, Pieter ...
CORR
2000
Springer
75views Education» more  CORR 2000»
15 years 4 months ago
A Learning Approach to Shallow Parsing
A SNoW based learning approach to shallow parsing tasks is presented and studied experimentally. The approach learns to identify syntactic patterns by combining simple predictors ...
Marcia Muñoz, Vasin Punyakanok, Dan Roth, D...
JMLR
2010
140views more  JMLR 2010»
14 years 11 months ago
Learning From Crowds
For many supervised learning tasks it may be infeasible (or very expensive) to obtain objective and reliable labels. Instead, we can collect subjective (possibly noisy) labels fro...
Vikas C. Raykar, Shipeng Yu, Linda H. Zhao, Gerard...
I3
2007
15 years 5 months ago
Identity: How to name it, How to find it
The main objective of this work is to exploit the relationship between the information findability problem and a subject-based organization of information. Identification of a sub...
Christo Dichev, Darina Dicheva, Jan Fischer
ATAL
2009
Springer
15 years 11 months ago
Multiagent reinforcement learning: algorithm converging to Nash equilibrium in general-sum discounted stochastic games
This paper introduces a multiagent reinforcement learning algorithm that converges with a given accuracy to stationary Nash equilibria in general-sum discounted stochastic games. ...
Natalia Akchurina