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» Experimental Design for Variable Selection in Data Bases
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AI
2004
Springer
14 years 9 months ago
A selective sampling approach to active feature selection
Feature selection, as a preprocessing step to machine learning, has been very effective in reducing dimensionality, removing irrelevant data, increasing learning accuracy, and imp...
Huan Liu, Hiroshi Motoda, Lei Yu
ICCAD
1995
IEEE
135views Hardware» more  ICCAD 1995»
15 years 1 months ago
An iterative improvement algorithm for low power data path synthesis
We address the problem of minimizing power consumption in behavioral synthesis of data-dominated circuits. The complex nature of power as a cost function implies that the effects ...
Anand Raghunathan, Niraj K. Jha
ICSE
1993
IEEE-ACM
15 years 1 months ago
Rule-Based Approach to Computing Module Cohesion
Stevens, Myers, and Constantine introduced the notion of cohesion, an ordinal scale of seven levels that describes the degree to which the actions performed by a module contribute...
Arun Lakhotia
UIST
2006
ACM
15 years 3 months ago
The design and evaluation of selection techniques for 3D volumetric displays
Volumetric displays, which display imagery in true 3D space, are a promising platform for the display and manipulation of 3D data. To fully leverage their capabilities, appropriat...
Tovi Grossman, Ravin Balakrishnan
ER
2001
Springer
136views Database» more  ER 2001»
15 years 2 months ago
A Randomized Approach for the Incremental Design of an Evolving Data Warehouse
A Data Warehouse (DW) can be used to integrate data from multiple distributed data sources. A DW can be seen as a set of materialized views that determine its schema and its conten...
Dimitri Theodoratos, Theodore Dalamagas, Alkis Sim...