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AAAI
2010
15 years 1 months ago
Smooth Optimization for Effective Multiple Kernel Learning
Multiple Kernel Learning (MKL) can be formulated as a convex-concave minmax optimization problem, whose saddle point corresponds to the optimal solution to MKL. Most MKL methods e...
Zenglin Xu, Rong Jin, Shenghuo Zhu, Michael R. Lyu...
BTW
2007
Springer
142views Database» more  BTW 2007»
15 years 6 months ago
Getting Prime Cuts from Skylines over Partially Ordered Domains
: Skyline queries have recently received a lot of attention due to their intuitive query formulation: users can state preferences with respect to several attributes. Unlike numeric...
Wolf-Tilo Balke, Wolf Siberski, Ulrich Güntze...
75
Voted
VLDB
1994
ACM
114views Database» more  VLDB 1994»
15 years 4 months ago
On Index Selection Schemes for Nested Object Hierarchies
In this paper we address the problem of devising a set of indexes for a nested object hierarchy in an object-oriented database to improve the overall system performance. It is not...
Sudarshan S. Chawathe, Ming-Syan Chen, Philip S. Y...
96
Voted
PKDD
2010
Springer
164views Data Mining» more  PKDD 2010»
14 years 10 months ago
Complexity Bounds for Batch Active Learning in Classification
Active learning [1] is a branch of Machine Learning in which the learning algorithm, instead of being directly provided with pairs of problem instances and their solutions (their l...
Philippe Rolet, Olivier Teytaud
98
Voted
ESA
2010
Springer
207views Algorithms» more  ESA 2010»
15 years 1 months ago
Budgeted Red-Blue Median and Its Generalizations
In a Content Distribution Network application, we have a set of servers and a set of clients to be connected to the servers. Often there are a few server types and a hard budget co...
MohammadTaghi Hajiaghayi, Rohit Khandekar, Guy Kor...