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» Statistical Modelling of CSP Solving Algorithms Performance
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SCP
2010
155views more  SCP 2010»
13 years 7 months ago
Type inference and strong static type checking for Promela
The SPIN model checker and its specification language Promela have been used extensively in industry and academia to check logical properties of distributed algorithms and protoc...
Alastair F. Donaldson, Simon J. Gay
KDD
2009
ACM
192views Data Mining» more  KDD 2009»
14 years 3 months ago
Primal sparse Max-margin Markov networks
Max-margin Markov networks (M3 N) have shown great promise in structured prediction and relational learning. Due to the KKT conditions, the M3 N enjoys dual sparsity. However, the...
Jun Zhu, Eric P. Xing, Bo Zhang
CORR
2010
Springer
206views Education» more  CORR 2010»
13 years 9 months ago
Detecting Anomalous Process Behaviour using Second Generation Artificial Immune Systems
Abstract. Artificial immune systems (AISs) are problem-solving systems inspired by the biological immune system. They have been successfully applied to a number of problem domains ...
Jamie Twycross, Uwe Aickelin, Amanda M. Whitbrook
VISUALIZATION
2005
IEEE
14 years 2 months ago
Rendering Tetrahedral Meshes with Higher-Order Attenuation Functions for Digital Radiograph Reconstruction
This paper presents a novel method for computing simulated x-ray images, or DRRs (digitally reconstructed radiographs), of tetrahedral meshes with higher-order attenuation functio...
Ofri Sadowsky, Jonathan D. Cohen, Russell H. Taylo...
BMCBI
2006
153views more  BMCBI 2006»
13 years 8 months ago
Intensity-based hierarchical Bayes method improves testing for differentially expressed genes in microarray experiments
Background: The small sample sizes often used for microarray experiments result in poor estimates of variance if each gene is considered independently. Yet accurately estimating v...
Maureen A. Sartor, Craig R. Tomlinson, Scott C. We...