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» The importance of learning in fuzzy systems
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ICPR
2010
IEEE
13 years 7 months ago
Learning Non-Linear Dynamical Systems by Alignment of Local Linear Models
Abstract—Learning dynamical systems is one of the important problems in many fields. In this paper, we present an algorithm for learning non-linear dynamical systems which works...
Masao Joko, Yoshinobu Kawahara, Takehisa Yairi
IJCAI
2003
13 years 10 months ago
Trainability: Developing a responsive learning system
In this paper, we describe the lessons we learned in developing AgentBuilder, a commercial system for rapidly creating agents that extract information from web sites. AgentBuilder...
Steven Minton, Sorinel I. Ticrea, Jennifer Beach
HIPC
2004
Springer
14 years 2 months ago
Autonomic Storage System Based on Automatic Learning
In this paper, we present a system capable of improving the I/O performance in an automatic way. This system is able to learn the behavior of the applications running on top and ...
Francisco Hidrobo, Toni Cortes
FLAIRS
2006
13 years 10 months ago
Predicting Learners' Emotional Response in Intelligent Distance Learning Systems
Different research studies have proved that emotions meet a pivotal role in cognitive processes and in particular the studies made by Damasio who argues that human-beings without ...
Soumaya Chaffar, Claude Frasson
KDD
2009
ACM
172views Data Mining» more  KDD 2009»
14 years 1 months ago
Learning dynamic temporal graphs for oil-production equipment monitoring system
Learning temporal graph structures from time series data reveals important dependency relationships between current observations and histories. Most previous work focuses on learn...
Yan Liu, Jayant R. Kalagnanam, Oivind Johnsen