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» Some Properties and Some Problems on Set Functors
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ICML
2009
IEEE
16 years 7 months ago
Proximal regularization for online and batch learning
Many learning algorithms rely on the curvature (in particular, strong convexity) of regularized objective functions to provide good theoretical performance guarantees. In practice...
Chuong B. Do, Quoc V. Le, Chuan-Sheng Foo
SIGMOD
2005
ACM
254views Database» more  SIGMOD 2005»
16 years 6 months ago
Conceptual Partitioning: An Efficient Method for Continuous Nearest Neighbor Monitoring
Given a set of objects P and a query point q, a k nearest neighbor (k-NN) query retrieves the k objects in P that lie closest to q. Even though the problem is well-studied for sta...
Kyriakos Mouratidis, Marios Hadjieleftheriou, Dimi...
196
Voted
DEXA
2009
Springer
167views Database» more  DEXA 2009»
16 years 1 months ago
Analyses and Validation of Conditional Dependencies with Built-in Predicates
Abstract. This paper proposes a natural extension of conditional functional dependencies (cfds [14]) and conditional inclusion dependencies (cinds [8]), denoted by cfdp s and cindp...
Wenguang Chen, Wenfei Fan, Shuai Ma
ICDCS
2008
IEEE
16 years 1 months ago
Fair K Mutual Exclusion Algorithm for Peer to Peer Systems
k-mutual exclusion is an important problem for resourceintensive peer-to-peer applications ranging from aggregation to file downloads. In order to be practically useful, k-mutual...
Vijay Anand Reddy, Prateek Mittal, Indranil Gupta
ISCC
2006
IEEE
133views Communications» more  ISCC 2006»
16 years 22 days ago
Choosing Weights for IP Network Dimensioning Optimization
Often in Internet Protocol (IP) networks, links are assigned weights, and traffic demands are routed along shortest paths. Hence, these link weights are the parameters which dete...
Olivier Klopfenstein, Sebastien Mamy