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FPL
2009
Springer
156views Hardware» more  FPL 2009»
15 years 11 months ago
A highly scalable Restricted Boltzmann Machine FPGA implementation
Restricted Boltzmann Machines (RBMs) — the building block for newly popular Deep Belief Networks (DBNs) — are a promising new tool for machine learning practitioners. However,...
Sang Kyun Kim, Lawrence C. McAfee, Peter L. McMaho...
EDUTAINMENT
2008
Springer
15 years 8 months ago
Learning Models for the Integration of Adaptive Educational Games in Virtual Learning Environments
There is a trend in Virtual Learning Environments (VLE) towards flexible and adapted learning experiences that modify their contents and behavior to suit the needs of different lea...
Javier Torrente, Pablo Moreno-Ger, Baltasar Fern&a...
COLT
2010
Springer
15 years 4 months ago
Learning to Create is as Hard as Learning to Appreciate
We explore the relationship between a natural notion of unsupervised learning studied by Kearns et al. (STOC '94), which we call here "learning to create" (LTC), an...
David Xiao
189
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ICML
1996
IEEE
16 years 7 months ago
Discretizing Continuous Attributes While Learning Bayesian Networks
We introduce a method for learning Bayesian networks that handles the discretization of continuous variables as an integral part of the learning process. The main ingredient in th...
Moisés Goldszmidt, Nir Friedman
ICALT
2006
IEEE
16 years 14 days ago
The Design of Internet Collaborative Learning System with Embedded Load-Balancing Broker
To transplant the six characteristics of traditional collaborative learning into the network collaborative learning environment, this paper proposes the design of an Internet coll...
Fu-Chien Kao, Chia-Wei Liu, Zhi-Hua Ji, Chia-Liang...