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SAT
2010
Springer
125views Hardware» more  SAT 2010»
14 years 1 months ago
Two Techniques for Minimizing Resolution Proofs
Some SAT-solvers are equipped with the ability to produce resolution proofs for problems which are unsatisfiable. Such proofs are used in a variety of contexts, including finding...
Scott Cotton
BMCBI
2010
110views more  BMCBI 2010»
13 years 10 months ago
A random effect multiplicative heteroscedastic model for bacterial growth
Background: Predictive microbiology develops mathematical models that can predict the growth rate of a microorganism population under a set of environmental conditions. Many prima...
Ricardo Cao, Mario Francisco-Fernández, Emi...
ICCV
2003
IEEE
14 years 12 months ago
Landmark-based Shape Deformation with Topology-Preserving Constraints
This paper presents a novel approach for landmarkbased shape deformation, in which fitting error and shape difference are formulated into a support vector machine (SVM) regression...
Song Wang, Jim Xiuquan Ji, Zhi-Pei Liang
ICML
2009
IEEE
14 years 11 months ago
BoltzRank: learning to maximize expected ranking gain
Ranking a set of retrieved documents according to their relevance to a query is a popular problem in information retrieval. Methods that learn ranking functions are difficult to o...
Maksims Volkovs, Richard S. Zemel
KDD
2008
ACM
182views Data Mining» more  KDD 2008»
14 years 10 months ago
Classification with partial labels
In this paper, we address the problem of learning when some cases are fully labeled while other cases are only partially labeled, in the form of partial labels. Partial labels are...
Nam Nguyen, Rich Caruana