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ICANN
2009
Springer
14 years 2 months ago
Constrained Learning Vector Quantization or Relaxed k-Separability
Neural networks and other sophisticated machine learning algorithms frequently miss simple solutions that can be discovered by a more constrained learning methods. Transition from ...
Marek Grochowski, Wlodzislaw Duch
KDD
1998
ACM
114views Data Mining» more  KDD 1998»
14 years 1 months ago
Coactive Learning for Distributed Data Mining
Weintroducecoactive learning as a distributed learning approachto data miningin networkedand distributed databases. Thecoactive learningalgorithmsact on independent data sets and ...
Dan L. Grecu, Lee A. Becker
COLCOM
2008
IEEE
14 years 4 months ago
Learning Models of the Negotiation Partner in Spatio-temporal Collaboration
Abstract. We describe an approach for learning the model of the opponent in spatio-temporal negotiation. We use the Children in the Rectangular Forest canonical problem as an examp...
Yi Luo, Ladislau Bölöni
ECTEL
2007
Springer
14 years 3 months ago
Applying Sensemaking in a Mobile Learning Scenario
In this work, a new type of collaborative learning activity is proposed in order to enable students to explore and understand information in highly mobile situations. We call this ...
Gustavo Zurita, Nelson Baloian, Pedro Antunes, Fel...
APIN
1999
110views more  APIN 1999»
13 years 9 months ago
The Connectionist Inductive Learning and Logic Programming System
The Connectionist Inductive Learning and Logic Programming System, C-IL 2 P, integrates the symbolic and connectionist paradigms of Artificial Intelligence through neural networks...
Artur S. d'Avila Garcez, Gerson Zaverucha