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» Class Separability in Spaces Reduced By Feature Selection
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ICASSP
2008
IEEE
14 years 3 months ago
Learning to satisfy
This paper investigates a class of learning problems called learning satisfiability (LSAT) problems, where the goal is to learn a set in the input (feature) space that satisfies...
Frederic Thouin, Mark Coates, Brian Eriksson, Robe...
PVLDB
2008
122views more  PVLDB 2008»
13 years 8 months ago
Identifying robust plans through plan diagram reduction
Estimates of predicate selectivities by database query optimizers often differ significantly from those actually encountered during query execution, leading to poor plan choices a...
Harish D., Pooja N. Darera, Jayant R. Haritsa
ICWSM
2008
13 years 10 months ago
An Automatic Classification of Book Texts to User-Defined Tags
We describe work on automatically assigning labels to books using user-defined tags as the label set. Using supervised learning and exploring both binary and multiclass classifica...
Sharon Givon, Theresa Wilson
CVPR
2001
IEEE
14 years 10 months ago
Learning Probabilistic Distribution Model for Multi-View Face Detection
Modeling subspaces of a distribution of interest in high dimensional spaces is a challenging problem in pattern analysis. In this paper, we present a novel framework for pose inva...
Lie Gu, Stan Z. Li, HongJiang Zhang
CIKM
2009
Springer
14 years 3 months ago
Independent informative subgraph mining for graph information retrieval
In order to enable scalable querying of graph databases, intelligent selection of subgraphs to index is essential. An improved index can reduce response times for graph queries si...
Bingjun Sun, Prasenjit Mitra, C. Lee Giles