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JMLR
2012
11 years 10 months ago
Sparse Higher-Order Principal Components Analysis
Traditional tensor decompositions such as the CANDECOMP / PARAFAC (CP) and Tucker decompositions yield higher-order principal components that have been used to understand tensor d...
Genevera Allen
JMLR
2012
11 years 10 months ago
A Stick-Breaking Likelihood for Categorical Data Analysis with Latent Gaussian Models
The development of accurate models and efficient algorithms for the analysis of multivariate categorical data are important and longstanding problems in machine learning and compu...
Mohammad Emtiyaz Khan, Shakir Mohamed, Benjamin M....
JMLR
2012
11 years 10 months ago
Structured Sparse Canonical Correlation Analysis
In this paper, we propose to apply sparse canonical correlation analysis (sparse CCA) to an important genome-wide association study problem, eQTL mapping. Existing sparse CCA mode...
Xi Chen, Han Liu, Jaime G. Carbonell
CC
1998
Springer
134views System Software» more  CC 1998»
13 years 12 months ago
Flow Logics for Constraint Based Analysis
Abstract. Flow logic offers a compact and versatile notation for expressing the acceptability of solutions to program analysis problems. In contrast to previous logical formulation...
Hanne Riis Nielson, Flemming Nielson
CAV
2011
Springer
365views Hardware» more  CAV 2011»
12 years 11 months ago
BAP: A Binary Analysis Platform
Abstract. BAP is a publicly available infrastructure for performing program verification and analysis tasks on binary (i.e., executable) code. In this paper, we describe BAP as we...
David Brumley, Ivan Jager, Thanassis Avgerinos, Ed...