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» Learning Models for Multi-Source Integration
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SDM
2004
SIAM
144views Data Mining» more  SDM 2004»
14 years 11 months ago
RBA: An Integrated Framework for Regression based on Association Rules
This paper explores a novel framework for building regression models using association rules. The model consists of an ordered set of IF-THEN rules, where the rule consequent is t...
Aysel Ozgur, Pang-Ning Tan, Vipin Kumar
64
Voted
NPL
2006
85views more  NPL 2006»
14 years 9 months ago
A Neural Model for Context-dependent Sequence Learning
A novel neural network model is described that implements context-dependent learning of complex sequences. The model utilises leaky integrate-and-fire neurons to extract timing inf...
Luc Berthouze, Adriaan G. Tijsseling
79
Voted
ECTEL
2007
Springer
15 years 3 months ago
Reasoning-Based Curriculum Sequencing and Validation: Integration in a Service-Oriented Architecture
Abstract. We present a service-oriented personalization system, set in an educational framework, based on a semantic annotation of courses, given at a knowledge level (what the cou...
Matteo Baldoni, Cristina Baroglio, Ingo Brunkhorst...
AAAI
2007
14 years 12 months ago
A Connectionist Cognitive Model for Temporal Synchronisation and Learning
The importance of the efforts towards integrating the symbolic and connectionist paradigms of artificial intelligence has been widely recognised. Integration may lead to more e...
Luís C. Lamb, Rafael V. Borges, Artur S. d'...
CORR
2002
Springer
100views Education» more  CORR 2002»
14 years 9 months ago
A neural model for multi-expert architectures
We present a generalization of conventional artificial neural networks that allows for a functional equivalence to multi-expert systems. The new model provides an architectural fr...
Marc Toussaint