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CAV
2009
Springer
156views Hardware» more  CAV 2009»
15 years 9 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 2 months 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...
ICML
2006
IEEE
16 years 3 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
MANSCI
2008
142views more  MANSCI 2008»
15 years 2 months 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 3 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