4128 search results - page 162 / 826 » Learning and using relational theories |
120
Voted
KDD
1995
ACM
15 years 4 months ago
1995
ACM
Manydata mining algorithms developed recently are based on inductive learning methods. Very few are based on similarity-based learning. However, similarity-based learning accrues ...
113
Voted
ALT
2007
Springer
15 years 9 months ago
2007
Springer
We consider the problem of learning and verifying hidden graphs and their properties given query access to the graphs. We analyze various queries (edge detection, edge counting, sh...
93
Voted
ICML
2010
IEEE
15 years 1 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...
111
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COLT
2007
Springer
15 years 7 months ago
2007
Springer
This paper analyzes the potential advantages and theoretical challenges of “active learning” algorithms. Active learning involves sequential sampling procedures that use infor...
ICC
2007
IEEE
15 years 7 months ago
2007
IEEE
—We present a new algorithm for vertical handover and dynamic network selection, based on a combination of multiattribute utility theory, kernel learning and stochastic gradient ...