908 search results - page 91 / 182 » Stochastic Finite Learning |
132
Voted
ESANN
2004
15 years 5 months ago
2004
Standard pattern recognition provides effective and noise-tolerant tools for machine learning tasks; however, most approaches only deal with real vectors of a finite and fixed dime...
131
Voted
BC
2008
15 years 3 months ago
2008
In this paper we introduce a simple model based on probabilistic finite state automata to describe an emotional interaction between a robot and a human user, or between simulated a...
121
Voted
CORR
2010
Springer
15 years 3 months ago
2010
Springer
Abstract--Recently Kutin and Niyogi investigated several notions of algorithmic stability--a property of a learning map conceptually similar to continuity--showing that training-st...
124
Voted
ICML
2000
IEEE
16 years 4 months ago
2000
IEEE
This paper discusses theoretical and experimental aspects of gradient-based approaches to the direct optimization of policy performance in controlled ??? ?s. We introduce ??? ?, a...
128
Voted
EURONGI
2005
Springer
15 years 9 months ago
2005
Springer
We deploy a novel Reinforcement Learning optimization technique based on afterstates learning to determine the gain that can be achieved by incorporating movement prediction inform...