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97
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CAV
2009
Springer
156views Hardware» more  CAV 2009»
15 years 7 months ago
Towards Performance Prediction of Compositional Models in Industrial GALS Designs
Systems and Networks on Chips (NoCs) are a prime design focus of many hardware manufacturers. In addition to functional verification, which is a difficult necessity, the chip desi...
Nicolas Coste, Holger Hermanns, Etienne Lantreibec...
BMCBI
2008
101views more  BMCBI 2008»
15 years 21 days ago
Reranking candidate gene models with cross-species comparison for improved gene prediction
Background: Most gene finders score candidate gene models with state-based methods, typically HMMs, by combining local properties (coding potential, splice donor and acceptor patt...
Qian Liu, Koby Crammer, Fernando C. N. Pereira, Da...
101
Voted
ICML
2006
IEEE
16 years 1 months ago
Kernel Predictive Linear Gaussian models for nonlinear stochastic dynamical systems
The recent Predictive Linear Gaussian model (or PLG) improves upon traditional linear dynamical system models by using a predictive representation of state, which makes consistent...
David Wingate, Satinder P. Singh
94
Voted
MANSCI
2008
142views more  MANSCI 2008»
15 years 16 days ago
Predicting Product Purchase from Inferred Customer Similarity: An Autologistic Model Approach
Product recommendation models are key tools in customer relationship management (CRM). This study develops a product recommendation model based upon the principle that customer pr...
Sangkil Moon, Gary J. Russell
NAACL
2004
15 years 2 months ago
A Language Modeling Approach to Predicting Reading Difficulty
We demonstrate a new research approach to the problem of predicting the reading difficulty of a text passage, by recasting readability in terms of statistical language modeling. W...
Kevyn Collins-Thompson, James P. Callan