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» A Computational Model for Metric Spaces
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DAC
1996
ACM
14 years 1 months ago
Computing Parametric Yield Adaptively Using Local Linear Models
Abstract A divide-and-conquer algorithm for computing the parametric yield of large analog circuits is presented. The algorithm targets applications whose performance spreads could...
Mien Li, Linda S. Milor
ACL
2003
13 years 10 months ago
Orthogonal Negation in Vector Spaces for Modelling Word-Meanings and Document Retrieval
Standard IR systems can process queries such as “web NOT internet”, enabling users who are interested in arachnids to avoid documents about computing. The documents retrieved ...
Dominic Widdows
EMNLP
2010
13 years 7 months ago
Training Continuous Space Language Models: Some Practical Issues
Using multi-layer neural networks to estimate the probabilities of word sequences is a promising research area in statistical language modeling, with applications in speech recogn...
Hai Son Le, Alexandre Allauzen, Guillaume Wisniews...
TOG
2012
267views Communications» more  TOG 2012»
11 years 11 months ago
Global parametrization by incremental flattening
Global parametrization of surfaces requires singularities (cones) to keep distortion minimal. We describe a method for finding cone locations and angles and an algorithm for glob...
Ashish Myles, Denis Zorin
ALGORITHMICA
2007
70views more  ALGORITHMICA 2007»
13 years 9 months ago
Sampling Conformation Space to Model Equilibrium Fluctuations in Proteins
This paper proposes the Protein Ensemble Method (PEM) to model equilibrium fluctuations in proteins where fragments of the protein polypeptide chain can move independently of one ...
Amarda Shehu, Cecilia Clementi, Lydia E. Kavraki