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» Improving Rule Evaluation Using Multitask Learning
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ICCV
2009
IEEE
15 years 3 months ago
Efficient subset selection based on the Renyi entropy
Many machine learning algorithms require the summation of Gaussian kernel functions, an expensive operation if implemented straightforwardly. Several methods have been proposed t...
Vlad I. Morariu1, Balaji V. Srinivasan, Vikas C. R...
DLOG
2006
14 years 10 days ago
Tableau Caching for Description Logics with Inverse and Transitive Roles
Abstract. Modern description logic (DL) reasoners are known to be less efficient for DLs with inverse roles. The current loss of performance is largely due to the missing applicabi...
Yu Ding, Volker Haarslev
KCAP
2003
ACM
14 years 4 months ago
Building large knowledge bases by mass collaboration
Acquiring knowledge has long been the major bottleneck preventing the rapid spread of AI systems. Manual approaches are slow and costly. Machine-learning approaches have limitatio...
Matthew Richardson, Pedro Domingos
GECCO
2005
Springer
186views Optimization» more  GECCO 2005»
14 years 4 months ago
Subproblem optimization by gene correlation with singular value decomposition
Several ways of using singular value decomposition (SVD), a linear algebra technique typically used for information retrieval, to decompose problems into subproblems are investiga...
Jacob G. Martin
AIPS
2008
14 years 1 months ago
Stochastic Enforced Hill-Climbing
Enforced hill-climbing is an effective deterministic hillclimbing technique that deals with local optima using breadth-first search (a process called "basin flooding"). ...
Jia-Hong Wu, Rajesh Kalyanam, Robert Givan