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KDD
2004
ACM
135views Data Mining» more  KDD 2004»
16 years 6 months ago
Discovering additive structure in black box functions
Many automated learning procedures lack interpretability, operating effectively as a black box: providing a prediction tool but no explanation of the underlying dynamics that driv...
Giles Hooker
CORR
2008
Springer
157views Education» more  CORR 2008»
15 years 6 months ago
The Imaginary Sliding Window As a New Data Structure for Adaptive Algorithms
Abstract.1 The scheme of the sliding window is known in Information Theory, Computer Science, the problem of predicting and in stastistics. Let a source with unknown statistics gen...
Boris Ryabko
RECOMB
2009
Springer
16 years 7 months ago
Lifting Prediction to Alignment of RNA Pseudoknots
Prediction and alignment of RNA pseudoknot structures are NP-hard. Nevertheless, several efficient prediction algorithms by dynamic programming have been proposed for restricted cl...
Mathias Möhl, Rolf Backofen, Sebastian Will
CSB
2005
IEEE
129views Bioinformatics» more  CSB 2005»
16 years 6 hour ago
Rule Clustering and Super-rule Generation for Transmembrane Segments Prediction
The explanation of a decision is important for the acceptance of machine learning technology in bioinformatics applications such as protein structure prediction. In past research,...
Jieyue He, Bernard Chen, Hae-Jin Hu, Robert W. Har...
SDM
2010
SIAM
192views Data Mining» more  SDM 2010»
15 years 7 months ago
Fast and Accurate Gene Prediction by Decision Tree Classification
Gene prediction is one of the most challenging tasks in genome analysis, for which many tools have been developed and are still evolving. In this paper, we present a novel gene pr...
Rong She, Jeffrey Shih-Chieh Chu, Ke Wang, Nanshen...