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SSPR
1998
Springer
14 years 1 months ago
Modified Minimum Classification Error Learning and Its Application to Neural Networks
A novel method to improve the generalization performance of the Minimum Classification Error (MCE) / Generalized Probabilistic Descent (GPD) learning is proposed. The MCE/GPD learn...
Hiroshi Shimodaira, Jun Rokui, Mitsuru Nakai
AAAI
1998
13 years 10 months ago
Procedural Help in Andes: Generating Hints Using a Bayesian Network Student Model
One of the most important problems for an intelligent tutoring system is deciding how to respond when a student asks for help. Responding cooperatively requires an understanding o...
Abigail S. Gertner, Cristina Conati, Kurt VanLehn
ICONIP
1998
13 years 10 months ago
Summation Characteristics of PDM Digital Neural Network System
A PDM (Pulse Density Modulating) digital neural network system, which consists of 1,000 neurons physically interconnected by one million 7-bit synapses, was developed in our labor...
Hideki Toda, Yuzo Hirai
UAI
1998
13 years 10 months ago
A Multivariate Discretization Method for Learning Bayesian Networks from Mixed Data
In this paper we address the problem of discretization in the context of learning Bayesian networks (BNs) from data containing both continuous and discrete variables. We describe ...
Stefano Monti, Gregory F. Cooper
CONNECTION
1998
66views more  CONNECTION 1998»
13 years 9 months ago
The Emergence of a 'Language' in an Evolving Population of Neural Networks
The evolution of language implies the parallel evolution of an ability to respond appropriately to signals (language understanding) and an ability to produce the appropriate signa...
Angelo Cangelosi, Domenico Parisi