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ICML
2002
IEEE
15 years 10 months ago
Learning the Kernel Matrix with Semi-Definite Programming
Kernel-based learning algorithms work by embedding the data into a Euclidean space, and then searching for linear relations among the embedded data points. The embedding is perfor...
Gert R. G. Lanckriet, Nello Cristianini, Peter L. ...
EMO
2009
Springer
159views Optimization» more  EMO 2009»
15 years 4 months ago
Recombination for Learning Strategy Parameters in the MO-CMA-ES
The multi-objective covariance matrix adaptation evolution strategy (MO-CMA-ES) is a variable-metric algorithm for real-valued vector optimization. It maintains a parent population...
Thomas Voß, Nikolaus Hansen, Christian Igel
CORR
2010
Springer
122views Education» more  CORR 2010»
14 years 9 months ago
Facility Location with Client Latencies: Linear-Programming based Techniques for Minimum-Latency Problems
We introduce a problem that is a common generalization of the uncapacitated facility location (UFL) and minimum latency (ML) problems, where facilities not only need to be opened ...
Deeparnab Chakrabarty, Chaitanya Swamy
GIS
2005
ACM
15 years 10 months ago
Shapes based trajectory queries for moving objects
An interesting issue in moving objects databases is to find similar trajectories of moving objects. Previous work on this topic focuses on movement patterns (trajectories with tim...
Bin Lin, Jianwen Su
ICML
2010
IEEE
14 years 10 months ago
Transfer Learning for Collective Link Prediction in Multiple Heterogenous Domains
Link prediction is a key technique in many applications such as recommender systems, where potential links between users and items need to be predicted. A challenge in link predic...
Bin Cao, Nathan Nan Liu, Qiang Yang