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ICML
1994
IEEE
13 years 11 months ago
Efficient Algorithms for Minimizing Cross Validation Error
Model selection is important in many areas of supervised learning. Given a dataset and a set of models for predicting with that dataset, we must choose the model which is expected...
Andrew W. Moore, Mary S. Lee
DGO
2003
140views Education» more  DGO 2003»
13 years 9 months ago
Social Welfare Program Administration and Evaluation and Policy Analysis Using Knowledge Discovery and Data Mining (KDD) on Admi
New technology in knowledge discovery and data mining (KDD) make it possible to extract valuable information from operational data. Private businesses already use the technology f...
Hye-Chung (Monica) Kum, Dean Duncan, Kimberly Flai...
IQ
2007
13 years 9 months ago
An Alert Management Approach To Data Quality: Lessons Learned From The Visa Data Authority Program
: We introduce an end-to-end framework for data quality that integrates business strategy, data quality models, and supporting investigative and governance processes. We also descr...
Joseph Bugajski, Robert L. Grossman
MICRO
1994
IEEE
99views Hardware» more  MICRO 1994»
13 years 11 months ago
Data relocation and prefetching for programs with large data sets
Numerical applications frequently contain nested loop structures that process large arrays of data. The execution of these loop structures often produces memory preference pattern...
Yoji Yamada, John Gyllenhall, Grant Haab, Wen-mei ...
VL
2000
IEEE
136views Visual Languages» more  VL 2000»
14 years 1 days ago
A Data-Flow Visual Approach to Symbolic Computing: Implementing a Production-Rule-Based Programming System through a General-Pur
The main aim of this paper is to investigate how the production-rule-based computational paradigm can be implemented through visual data-flow techniques. We propose a simple yet e...
Mauro Mosconi, Marco Porta