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ICANNGA
2007
Springer
105views Algorithms» more  ICANNGA 2007»
16 years 1 months ago
Reinforcement Learning in Fine Time Discretization
Reinforcement Learning (RL) is analyzed here as a tool for control system optimization. State and action spaces are assumed to be continuous. Time is assumed to be discrete, yet th...
Pawel Wawrzynski
ICANN
2001
Springer
16 years 2 days ago
Generalized Relevance LVQ for Time Series
Abstract. An application of the recently proposed generalized relevance learning vector quantization (GRLVQ) to the analysis and modeling of time series data is presented. We use G...
Marc Strickert, Thorsten Bojer, Barbara Hammer
CPM
2009
Springer
131views Combinatorics» more  CPM 2009»
15 years 11 months ago
Linear Time Suffix Array Construction Using D-Critical Substrings
In this paper we present in detail a new efficient linear time and space suffix array construction algorithm(SACA), called the D-CriticalSubstring algorithm. The algorithm is built...
Ge Nong, Sen Zhang, Wai Hong Chan
JCM
2008
81views more  JCM 2008»
15 years 7 months ago
An Iterative Algorithm for Joint Symbol Timing Recovery and Equalization of Short Bursts
In this work a joint clock recovery (CR) and equalization scheme for short burst transmissions is presented. The joint optimization performance may be pursued by means of both data...
Pietro Savazzi, Paolo Gamba, Lorenzo Favalli
CBMS
2002
IEEE
16 years 17 days ago
A Statistical Approach to Texture Description of Medical Images: A Preliminary Study
The article deals with the problem of texture description. It presents a statistical approach. Specifically it introduces the use of first- and second-order statistics on textur...
Matjaz Bevk, Igor Kononenko