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156
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BMCBI
2008
137views more  BMCBI 2008»
15 years 4 months ago
A dynamic Bayesian network approach to protein secondary structure prediction
Background: Protein secondary structure prediction method based on probabilistic models such as hidden Markov model (HMM) appeals to many because it provides meaningful informatio...
Xin-Qiu Yao, Huaiqiu Zhu, Zhen-Su She
WWW
2002
ACM
16 years 4 months ago
A probabilistic approach to automated bidding in alternative auctions
This paper presents an approach to develop bidding agents that participate in multiple alternative auctions, with the goal of obtaining an item at the lowest price. The approach c...
Marlon Dumas, Lachlan Aldred, Guido Governatori, A...
ICCV
1998
IEEE
16 years 6 months ago
Visual Motion Estimation and Prediction: A Probabilistic Network Model for Temporal Coherence
We develop a theory for the temporal integration of visual motion motivated by psychophysical experiments. The theory proposes that input data are temporally grouped and used to p...
Alan L. Yuille, Pierre-Yves Burgi, Norberto M. Grz...
112
Voted
IPPS
2000
IEEE
15 years 8 months ago
A Probabilistic Power Prediction Tool for the Xilinx 4000-Series FPGA
The work described here introduces a practical and accurate tool for predicting power consumption for FPGA circuits. The utility of the tool is that it enables FPGA circuit designe...
Timothy Osmulski, Jeffrey T. Muehring, Brian F. Ve...
KDD
2010
ACM
327views Data Mining» more  KDD 2010»
15 years 8 months ago
Cold start link prediction
In the traditional link prediction problem, a snapshot of a social network is used as a starting point to predict, by means of graph-theoretic measures, the links that are likely ...
Vincent Leroy, Berkant Barla Cambazoglu, Francesco...