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» An Algebraic Approach to Inductive Learning
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AIMSA
2008
Springer
14 years 3 months ago
Prototypes Based Relational Learning
Relational instance-based learning (RIBL) algorithms offer high prediction capabilities. However, they do not scale up well, specially in domains where there is a time bound for c...
Rocío García-Durán, Fernando ...
GECCO
2008
Springer
115views Optimization» more  GECCO 2008»
13 years 10 months ago
A genetic programming approach to business process mining
The aim of process mining is to identify and extract process patterns from data logs to reconstruct an overall process flowchart. As business processes become more and more comple...
Chris J. Turner, Ashutosh Tiwari, Jörn Mehnen
DATE
2009
IEEE
131views Hardware» more  DATE 2009»
14 years 3 months ago
An event-guided approach to reducing voltage noise in processors
Abstract—Supply voltage fluctuations that result from inductive noise are increasingly troublesome in modern microprocessors. A voltage “emergency”, i.e., a swing beyond tol...
Meeta Sharma Gupta, Vijay Janapa Reddi, Glenn H. H...
AIPRF
2007
13 years 10 months ago
Evaluation of Different Approaches to Training a Genre Classifier
This paper presents experiments on classifying web pages by genre. Firstly, a corpus of 1539 manually labeled web pages was prepared. Secondly, 502 genre features were selected ba...
Vedrana Vidulin, Mitja Lustrek, Matjaz Gams
MLDM
2007
Springer
14 years 3 months ago
Transductive Learning from Relational Data
Transduction is an inference mechanism “from particular to particular”. Its application to classification tasks implies the use of both labeled (training) data and unlabeled (...
Michelangelo Ceci, Annalisa Appice, Nicola Barile,...