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ICDM
2007
IEEE
121views Data Mining» more  ICDM 2007»
16 years 1 months ago
ORIGAMI: Mining Representative Orthogonal Graph Patterns
In this paper, we introduce the concept of α-orthogonal patterns to mine a representative set of graph patterns. Intuitively, two graph patterns are α-orthogonal if their simila...
Mohammad Al Hasan, Vineet Chaoji, Saeed Salem, J&e...
ILP
2004
Springer
16 years 5 days ago
Learning an Approximation to Inductive Logic Programming Clause Evaluation
One challenge faced by many Inductive Logic Programming (ILP) systems is poor scalability to problems with large search spaces and many examples. Randomized search methods such as ...
Frank DiMaio, Jude W. Shavlik
ECCV
2010
Springer
15 years 12 months ago
What, Where & How Many? Combining Object Detectors and CRFs
Abstract. Computer vision algorithms for individual tasks such as object recognition, detection and segmentation have shown impressive results in the recent past. The next challeng...
WG
1993
Springer
15 years 11 months ago
Graphs, Hypergraphs and Hashing
Minimal perfect hash functions are used for memory efficient storage and fast retrieval of items from static sets. We present an infinite family of efficient and practical algori...
George Havas, Bohdan S. Majewski, Nicholas C. Worm...
APPROX
2010
Springer
148views Algorithms» more  APPROX 2010»
15 years 8 months ago
Learning and Lower Bounds for AC0 with Threshold Gates
In 2002 Jackson et al. [JKS02] asked whether AC0 circuits augmented with a threshold gate at the output can be efficiently learned from uniform random examples. We answer this ques...
Parikshit Gopalan, Rocco A. Servedio