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» Using Multiple Alignments to Improve Gene Prediction
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152
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NAR
2010
107views more  NAR 2010»
14 years 10 months ago
FlyTF: improved annotation and enhanced functionality of the Drosophila transcription factor database
FlyTF (http://www.flytf.org) is a database of computationally predicted and/or experimentally verified site-specific transcription factors (TFs) in the fruit fly Drosophila melano...
Ulrike Pfreundt, Daniel P. James, Susan Tweedie, D...
120
Voted
ICCV
2009
IEEE
16 years 8 months ago
Unlabeled data improves word prediction
Labeling image collections is a tedious task, especially when multiple labels have to be chosen for each image. In this paper we introduce a new framework that extends state of ...
Nicolas Loeff, Ali Farhadi, Ian Endres and David A...
123
Voted
BIBM
2007
IEEE
132views Bioinformatics» more  BIBM 2007»
15 years 10 months ago
A Divide-and-Conquer Implementation of Three Sequence Alignment and Ancestor Inference
In this paper, we present an algorithm to simultaneously align three biological sequences with affine gap model and infer their common ancestral sequence. Our algorithm can be fu...
Feng Yue, Jijun Tang
145
Voted
ICASSP
2009
IEEE
15 years 10 months ago
Leveraging multiple query logs to improve language models for spoken query recognition
A voice search system requires a speech interface that can correctly recognize spoken queries uttered by users. The recognition performance strongly relies on a robust language mo...
Xiao Li, Patrick Nguyen, Geoffrey Zweig, Dan Bohus
134
Voted
KBS
2006
150views more  KBS 2006»
15 years 3 months ago
Clusterer ensemble
Ensemble methods that train multiple learners and then combine their predictions have been shown to be very effective in supervised learning. This paper explores ensemble methods ...
Zhi-Hua Zhou, Wei Tang