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» Using Multiple Alignments to Improve Gene Prediction
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120
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ICMLA
2008
15 years 5 months ago
Ensemble Machine Methods for DNA Binding
We introduce three ensemble machine learning methods for analysis of biological DNA binding by transcription factors (TFs). The goal is to identify both TF target genes and their ...
Yue Fan, Mark A. Kon, Charles DeLisi
122
Voted
UAI
2003
15 years 5 months ago
Probabilistic Models For Joint Clustering And Time-Warping Of Multidimensional Curves
In this paper we present a family of models and learning algorithms that can simultaneously align and cluster sets of multidimensional curves measured on a discrete time grid. Our...
Darya Chudova, Scott Gaffney, Padhraic Smyth
123
Voted
DAC
2000
ACM
16 years 4 months ago
Multiple Si layer ICs: motivation, performance analysis, and design implications
Continuous scaling of VLSI circuits is reducing gate delays but rapidly increasing interconnect delays. Semiconductor Industry Association (SIA) roadmap predicts that, beyond the ...
Shukri J. Souri, Kaustav Banerjee, Amit Mehrotra, ...
185
Voted
CVPR
2011
IEEE
14 years 7 months ago
An Associate-Predict Model for Face Recognition
Handling intra-personal variation is a major challenge in face recognition. It is difficult how to appropriately measure the similarity between human faces under significantly di...
Qi Yin, Jian Sun, Xiaoou Tang
131
Voted
ICASSP
2011
IEEE
14 years 7 months ago
EM-style optimization of hidden conditional random fields for grapheme-to-phoneme conversion
We have recently proposed an EM-style algorithm to optimize log-linear models with hidden variables. In this paper, we use this algorithm to optimize a hidden conditional random ...
Georg Heigold, Stefan Hahn, Patrick Lehnen, Herman...