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» Evaluating Adaptive Problem Selection
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ML
2008
ACM
248views Machine Learning» more  ML 2008»
13 years 8 months ago
Feature selection via sensitivity analysis of SVM probabilistic outputs
Feature selection is an important aspect of solving data-mining and machine-learning problems. This paper proposes a feature-selection method for the Support Vector Machine (SVM) l...
Kai Quan Shen, Chong Jin Ong, Xiao Ping Li, Einar ...
ESCIENCE
2006
IEEE
14 years 17 days ago
Grid Enabled Problem Solving Environments for Text Categorization
As the large volume of resources involved and the power of computational Grids increased, there is a corresponding and urgent need for employ the grid technologies into problem so...
Jian Mei, Wu Zhang, Suge Wang
ICDCS
2008
IEEE
14 years 3 months ago
Measurement Manipulation and Space Selection in Network Coordinates
Internet coordinate systems have emerged as an efficient method to estimate the latency between pairs of nodes without any communication between them. However, most coordinate sy...
Cristian Lumezanu, Neil Spring
ANOR
2010
123views more  ANOR 2010»
13 years 9 months ago
Nature inspired genetic algorithms for hard packing problems
This paper presents two novel genetic algorithms (GAs) for hard industrially relevant packing problems. The design of both algorithms is inspired by aspects of molecular genetics,...
Philipp Rohlfshagen, John A. Bullinaria
ARITH
2005
IEEE
14 years 2 months ago
A Linear-System Operator Based Scheme for Evaluation of Multinomials
We present a radix-2 online computational scheme for evaluating multinomials in a fixed-point number representation system. Its main advantage is that it can adapt to any evaluat...
Pavan Adharapurapu, Milos D. Ercegovac