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NECO
1998
168views more  NECO 1998»
15 years 2 months ago
Constructive Incremental Learning from Only Local Information
We introduce a constructive, incremental learning system for regression problems that models data by means of spatially localized linear models. In contrast to other approaches, t...
Stefan Schaal, Christopher G. Atkeson
135
Voted
CORR
2008
Springer
105views Education» more  CORR 2008»
15 years 3 months ago
SOSEMANUK: a fast software-oriented stream cipher
Sosemanuk is a new synchronous software-oriented stream cipher, corresponding to Profile 1 of the ECRYPT call for stream cipher primitives. Its key length is variable between 128 ...
Côme Berbain, Olivier Billet, Anne Canteaut,...
PKDD
2004
Springer
118views Data Mining» more  PKDD 2004»
15 years 8 months ago
Learning from Multi-source Data
This paper proposes an efficient method to learn from multi source data with an Inductive Logic Programming method. The method is based on two steps. The first one consists in lea...
Élisa Fromont, Marie-Odile Cordier, Rene Qu...
94
Voted
CIMCA
2005
IEEE
15 years 9 months ago
Fuzzy Inference Model for Learning from Experiences and Its Application to Robot Navigation
A fuzzy inference model for learning from experiences (FILE) is proposed. The model can learn from experience data obtained by trial-and-error of a task and it can stably learn fr...
Manabu Gouko, Yoshihiro Sugaya, Hirotomo Aso
DATE
2009
IEEE
171views Hardware» more  DATE 2009»
15 years 10 months ago
Automatic generation of streaming datapaths for arbitrary fixed permutations
Abstract—This paper presents a technique to perform arbitrary fixed permutations on streaming data. We describe a parameterized architecture that takes as input n data points st...
Peter A. Milder, James C. Hoe, Markus Püschel