Sciweavers

1159 search results - page 96 / 232
» Decision rules and decision markets
Sort
View
IDEAL
2000
Springer
15 years 1 months ago
Quantization of Continuous Input Variables for Binary Classification
Quantization of continuous variables is important in data analysis, especially for some model classes such as Bayesian networks and decision trees, which use discrete variables. Of...
Michal Skubacz, Jaakko Hollmén
DATAMINE
2002
125views more  DATAMINE 2002»
14 years 9 months ago
High-Performance Commercial Data Mining: A Multistrategy Machine Learning Application
We present an application of inductive concept learning and interactive visualization techniques to a large-scale commercial data mining project. This paper focuses on design and c...
William H. Hsu, Michael Welge, Thomas Redman, Davi...
SIGMOD
1998
ACM
142views Database» more  SIGMOD 1998»
14 years 9 months ago
A Case for Intelligent Disks (IDISKs)
Abstract: Decision support systems (DSS) and data warehousing workloads comprise an increasing fraction of the database market today. I/O capacity and associated processing require...
Kimberly Keeton, David A. Patterson, Joseph M. Hel...
ICASSP
2011
IEEE
14 years 1 months ago
Informative dialect recognition using context-dependent pronunciation modeling
We propose an informative dialect recognition system that learns phonetic transformation rules, and uses them to identify dialects. A hidden Markov model is used to align referenc...
Nancy F. Chen, Wade Shen, Joseph P. Campbell, Pedr...
COMPSAC
2002
IEEE
15 years 3 months ago
A Simple Mathematically Based Framework for Rule Extraction from an Arbitrary Programming Language
Programs use rules to dictate or constrain specific decisions or actions. These rules have typically been tested, revised, and updated continuously; therefore, they represent a su...
Frederick V. Ramsey, James J. Alpigini