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JMLR
2010
104views more  JMLR 2010»
13 years 3 months ago
How to Explain Individual Classification Decisions
After building a classifier with modern tools of machine learning we typically have a black box at hand that is able to predict well for unseen data. Thus, we get an answer to the...
David Baehrens, Timon Schroeter, Stefan Harmeling,...
BMCBI
2006
143views more  BMCBI 2006»
13 years 8 months ago
Fast estimation of the difference between two PAM/JTT evolutionary distances in triplets of homologous sequences
Background: The estimation of the difference between two evolutionary distances within a triplet of homologs is a common operation that is used for example to determine which of t...
Christophe Dessimoz, Manuel Gil, Adrian Schneider,...
BMCBI
2004
94views more  BMCBI 2004»
13 years 8 months ago
GASP: Gapped Ancestral Sequence Prediction for proteins
Background: The prediction of ancestral protein sequences from multiple sequence alignments is useful for many bioinformatics analyses. Predicting ancestral sequences is not a sim...
Richard J. Edwards, Denis C. Shields
KDD
1998
ACM
120views Data Mining» more  KDD 1998»
14 years 25 days ago
Large Datasets Lead to Overly Complex Models: An Explanation and a Solution
This paper explores unexpected results that lie at the intersection of two common themes in the KDD community: large datasets and the goal of building compact models. Experiments ...
Tim Oates, David Jensen
JAIR
2008
93views more  JAIR 2008»
13 years 8 months ago
Spectrum of Variable-Random Trees
In this paper, we show that a continuous spectrum of randomisation exists, in which most existing tree randomisations are only operating around the two ends of the spectrum. That ...
Fei Tony Liu, Kai Ming Ting, Yang Yu, Zhi-Hua Zhou