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KBS
2006
231views more  KBS 2006»
14 years 9 months ago
Predicting football results using Bayesian nets and other machine learning techniques
Bayesian networks (BNs) provide a means for representing, displaying, and making available in a usable form the knowledge of experts in a given Weld. In this paper, we look at the...
A. Joseph, Norman E. Fenton, Martin Neil
80
Voted
ICML
1999
IEEE
15 years 10 months ago
Machine-Learning Applications of Algorithmic Randomness
Most machine learning algorithms share the following drawback: they only output bare predictions but not the con dence in those predictions. In the 1960s algorithmic information t...
Volodya Vovk, Alexander Gammerman, Craig Saunders
ICALT
2005
IEEE
15 years 3 months ago
MALESAbrain for Problem-Based Learning in IT Education
This paper reports MALESAbrain an intelligent online tool for problem-based learning (PBL) in IT education. The learning model of MALESAbrain is built on the notions of threshold ...
Akcell Chiang, Mohd Sapiyan Baba
77
Voted
ICFP
2002
ACM
15 years 9 months ago
Compiling scheme to JVM bytecode: : a performance study
We have added a Java virtual machine (henceforth JVM) bytecode generator to the optimizing Scheme-to-C compiler Bigloo. We named this new compiler BiglooJVM. We have used this new...
Bernard P. Serpette, Manuel Serrano
ACSAC
2003
IEEE
15 years 3 months ago
How to unwittingly sign non-repudiable documents with Java applications
Digital signatures allow us to produce documents whose integrity and authenticity, as we generated them, is verifiable by anybody who has access to our public key. Furthermore, w...
Danilo Bruschi, D. Fabris, V. Glave, Emilia Rosti