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ISMB
1997
15 years 5 months ago
Inferring Gene Structures in Genomic Sequences Using Pattern Recognition and Expressed Sequence Tags
Abstract.) Ying Xu, Richard J. MuraF, and Edward C. Uberbacher Computer Science and Mathematics Division and tLife Sciences Division Computational methods for gene identification ...
Ying Xu, Richard J. Mural, Edward C. Uberbacher
NOMS
2008
IEEE
15 years 11 months ago
A novel approach to bottleneck analysis in networks
—In this paper∗ , we devise a novel method for bottleneck analysis of UDP networks based on the concept of network utility maximization. To determine the losses on the links in...
Nikhil Shetty, Assane Gueye, Jean C. Walrand
JMLR
2010
192views more  JMLR 2010»
14 years 11 months ago
Efficient Learning of Deep Boltzmann Machines
We present a new approximate inference algorithm for Deep Boltzmann Machines (DBM's), a generative model with many layers of hidden variables. The algorithm learns a separate...
Ruslan Salakhutdinov, Hugo Larochelle
ICANN
2007
Springer
15 years 10 months ago
Inferring Cognition from fMRI Brain Images
Abstract. Over the last few years, functional Magnetic Resonance Imaging (fMRI) has emerged as a new and powerful method to map the cognitive states of a human subject to specific...
Diego Sona, Sriharsha Veeramachaneni, Emanuele Oli...
IWCMC
2010
ACM
15 years 6 months ago
On the use of random neural networks for traffic matrix estimation in large-scale IP networks
Despite a large body of literature and methods devoted to the Traffic Matrix (TM) estimation problem, the inference of traffic flows volume from aggregated data still represents a ...
Pedro Casas, Sandrine Vaton