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ICLP
2009
Springer
16 years 7 months ago
Preprocessing for Optimization of Probabilistic-Logic Models for Sequence Analysis
Abstract. A class of probabilistic-logic models is considered, which increases the expressibility from HMM's and SCFG's regular and contextfree languages to, in principle...
Henning Christiansen, Ole Torp Lassen
ICCAD
2005
IEEE
107views Hardware» more  ICCAD 2005»
16 years 3 months ago
Projection-based performance modeling for inter/intra-die variations
Large-scale process fluctuations in nano-scale IC technologies suggest applying high-order (e.g., quadratic) response surface models to capture the circuit performance variations....
Xin Li, Jiayong Le, Lawrence T. Pileggi, Andrzej J...
158
Voted
HICSS
2010
IEEE
154views Biometrics» more  HICSS 2010»
15 years 8 months ago
On Mapping Business Document Models to Core Components
Today, there exists a huge variety of business document models for electronic data exchange among business partners used in business-to-business, business-to-government, as well a...
Michael Strommer, Christian Pichler, Philipp Liegl
CORR
2010
Springer
207views Education» more  CORR 2010»
15 years 6 months ago
Collaborative Hierarchical Sparse Modeling
Sparse modeling is a powerful framework for data analysis and processing. Traditionally, encoding in this framework is performed by solving an 1-regularized linear regression prob...
Pablo Sprechmann, Ignacio Ramírez, Guillerm...
ENTCS
2007
119views more  ENTCS 2007»
15 years 6 months ago
Interpolant Learning and Reuse in SAT-Based Model Checking
Bounded Model Checking (BMC) is one of the most paradigmatic practical applications of Boolean Satisfiability (SAT). The utilization of SAT in model checking has allowed signifi...
João Marques-Silva