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» Approximating Component Selection
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BMCBI
2010
146views more  BMCBI 2010»
15 years 6 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 11 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 10 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»
15 years 6 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
16 years 1 days 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