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» Knowledge Networking in Cross-Cultural Settings
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ECTEL
2006
Springer
13 years 11 months ago
Bayesian Student Models Based on Item to Item Knowledge Structures
Bayesian networks are commonly used in cognitive student modeling and assessment. They typically represent the item-concepts relationships, where items are observable responses to ...
Michel Desmarais, Michel Gagnon
ICMLA
2003
13 years 9 months ago
The Consolidation of Neural Network Task Knowledge
— Fundamental to the problem of lifelong machine learning is how to consolidate the knowledge of a learned task within a long-term memory structure (domain knowledge) without the...
Daniel L. Silver, Peter McCracken
IPPS
1999
IEEE
13 years 12 months ago
High-Performance Knowledge Extraction from Data on PC-Based Networks of Workstations
The automatic construction of classi ers programs able to correctly classify data collected from the real world is one of the major problems in pattern recognition and in a wide ar...
Cosimo Anglano, Attilio Giordana, Giuseppe Lo Bell...
SASP
2009
IEEE
222views Hardware» more  SASP 2009»
14 years 2 months ago
Arithmetic optimization for custom instruction set synthesis
Abstract—One of the ways that custom instruction set extensions can improve over software execution is through the use of hardware structures that have been optimized at the arit...
Ajay K. Verma, Yi Zhu, Philip Brisk, Paolo Ienne
AIIA
2001
Springer
14 years 3 days ago
A Knowledge-Based Neurocomputing Approach to Extract Refined Linguistic Rules from Data
– This paper proposes a knowledge-based neurocomputing approach to extract and refine a set of linguistic rules from data. A neural network is designed along with its learning al...
Giovanna Castellano, Anna Maria Fanelli