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EUSFLAT
2009
184views Fuzzy Logic» more  EUSFLAT 2009»
15 years 1 months ago
Recurrent Neural Kalman Filter Identification and Indirect Adaptive Control of a Continuous Stirred Tank Bioprocess
The aim of this paper is to propose a new Kalman Filter Recurrent Neural Network (KFRNN) topology and a recursive Levenberg-Marquardt (L-M) algorithm of its learning capable to est...
Ieroham S. Baruch, Carlos Román Mariaca Gas...
ECTEL
2009
Springer
15 years 10 months ago
Assessing Collaboration Quality in Synchronous CSCL Problem-Solving Activities: Adaptation and Empirical Evaluation of a Rating
The work described is part of an ongoing interdisciplinary collaboration between two research teams of the University of Patras, Greece and the University of Freiburg, Germany, whi...
Georgios Kahrimanis, Anne Meier, Irene-Angelica Ch...
HT
2009
ACM
15 years 10 months ago
Improving recommender systems with adaptive conversational strategies
Conversational recommender systems (CRSs) assist online users in their information-seeking and decision making tasks by supporting an interactive process. Although these processes...
Tariq Mahmood, Francesco Ricci
ITS
2000
Springer
116views Multimedia» more  ITS 2000»
15 years 7 months ago
An Adaptive, Collaborative Environment to Develop Good Habits in Programming
In this paper we discuss how computer supported collaborative learning (CSCL) can be deployed to develop new skills and habits in students at university level. These considerations...
Aurora Vizcaíno, Juan Contreras-Castillo, J...
HIS
2004
15 years 5 months ago
Adaptive Boosting with Leader based Learners for Classification of Large Handwritten Data
Boosting is a general method for improving the accuracy of a learning algorithm. AdaBoost, short form for Adaptive Boosting method, consists of repeated use of a weak or a base le...
T. Ravindra Babu, M. Narasimha Murty, Vijay K. Agr...