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» Using model knowledge for learning inverse dynamics
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KDD
2009
ACM
224views Data Mining» more  KDD 2009»
15 years 7 months ago
Issues in evaluation of stream learning algorithms
Learning from data streams is a research area of increasing importance. Nowadays, several stream learning algorithms have been developed. Most of them learn decision models that c...
João Gama, Raquel Sebastião, Pedro P...
NIPS
2004
15 years 4 months ago
Rate- and Phase-coded Autoassociative Memory
Areas of the brain involved in various forms of memory exhibit patterns of neural activity quite unlike those in canonical computational models. We show how to use well-founded Ba...
Máté Lengyel, Peter Dayan
117
Voted
AH
2008
Springer
15 years 9 months ago
VUMA: A Visual User Modelling Approach for the Personalisation of Adaptive Systems
Current approaches to explicit user modelling are generally time consuming and tedious for the user. Oftentimes poor usability and overly long questionnaires deter the end user fro...
Melanie B. Späth, Owen Conlan
113
Voted
IJAR
2002
98views more  IJAR 2002»
15 years 2 months ago
Contradiction sensitive fuzzy model-based adaptive control
Fuzzy model-based adaptive control, unlike traditional fuzzy control, extracts expert knowledge from data by using model identification techniques. In this paper, we propose an an...
Pablo Carmona, Juan Luis Castro, Jose Manuel Zurit...
180
Voted
RECOMB
2004
Springer
16 years 2 months ago
Modeling and Analysis of Heterogeneous Regulation in Biological Networks
Abstract. In this study we propose a novel model for the representation of biological networks and provide algorithms for learning model parameters from experimental data. Our appr...
Irit Gat-Viks, Amos Tanay, Ron Shamir