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» Approximating Component Selection
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BMCBI
2010
146views more  BMCBI 2010»
14 years 10 months ago
Nonnegative principal component analysis for mass spectral serum profiles and biomarker discovery
Background: As a novel cancer diagnostic paradigm, mass spectroscopic serum proteomic pattern diagnostics was reported superior to the conventional serologic cancer biomarkers. Ho...
Henry Han
SARA
2005
Springer
15 years 3 months ago
Feature-Discovering Approximate Value Iteration Methods
Sets of features in Markov decision processes can play a critical role ximately representing value and in abstracting the state space. Selection of features is crucial to the succe...
Jia-Hong Wu, Robert Givan
ICALP
2001
Springer
15 years 2 months ago
Approximating the Minimum Spanning Tree Weight in Sublinear Time
We present a probabilistic algorithm that, given a connected graph G (represented by adjacency lists) of average degree d, with edge weights in the set {1, . . . , w}, and given a ...
Bernard Chazelle, Ronitt Rubinfeld, Luca Trevisan
JEA
2008
112views more  JEA 2008»
14 years 9 months ago
Dynamic spatial approximation trees
The Spatial Approximation Tree (sa-tree) is a recently proposed data structure for searching in metric spaces. It has been shown that it compares favorably against alternative data...
Gonzalo Navarro, Nora Reyes
FDL
2006
IEEE
15 years 3 months ago
MCF: A Metamodeling-based Visual Component Composition Framework
Reusing IP-cores to construct system models facilitated by automated generation of glue-logic, and automated composability checks can help designers to create efficient simulation...
Deepak Mathaikutty, Sandeep K. Shukla