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ATAL
2009
Springer
14 years 4 months ago
MABLE: a framework for learning from natural instruction
The Modular Architecture for Bootstrapped Learning Experiments (MABLE) is a system that is being developed to allow humans to teach computers in the most natural manner possible: ...
Roger Mailler, Daniel Bryce, Jiaying Shen, Ciaran ...
NECO
1998
168views more  NECO 1998»
13 years 9 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
PKDD
2004
Springer
118views Data Mining» more  PKDD 2004»
14 years 3 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...
CIMCA
2005
IEEE
14 years 3 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
IEPOL
2010
130views more  IEPOL 2010»
13 years 7 months ago
Piracy or promotion? The impact of broadband Internet penetration on DVD sales
ABSTRACT Digital computer networks represent a disruptive technology, with the potential to create or destroy economic value in established industries. These opportunities and chal...
Michael D. Smith, Rahul Telang