3607 search results - page 64 / 722 » Learning with structured sparsity |
EUROCOLT
1995
Springer
13 years 11 months ago
1995
Springer
Limiting identification of r.e. indexes for r.e. languages (from a presentation of elements of the language) and limiting identification of programs for computable functions (fr...
AIM
2011
12 years 11 months ago
2011
Transfer learning aims to solve new learning problems by extracting and making use of the common knowledge found in related domains. A key element of transfer learning is to ident...
ECCV
2008
Springer
14 years 10 months ago
2008
Springer
Abstract. We describe a new method for unsupervised structure learning of a hierarchical compositional model (HCM) for deformable objects. The learning is unsupervised in the sense...
ICML
2003
IEEE
14 years 9 months ago
2003
IEEE
This paper introduces an approach for identifying predictive structures in relational data using the multiple-instance framework. By a predictive structure, we mean a structure th...
ICML
2010
IEEE
13 years 9 months ago
2010
IEEE
Markov logic networks (MLNs) use firstorder formulas to define features of Markov networks. Current MLN structure learners can only learn short clauses (4-5 literals) due to extre...