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SIGMOD
2006
ACM
110views Database» more  SIGMOD 2006»
14 years 5 months ago
Finding k-dominant skylines in high dimensional space
Given a d-dimensional data set, a point p dominates another point q if it is better than or equal to q in all dimensions and better than q in at least one dimension. A point is a ...
Chee Yong Chan, H. V. Jagadish, Kian-Lee Tan, Anth...
JMLR
2010
136views more  JMLR 2010»
13 years 17 days ago
Approximate Riemannian Conjugate Gradient Learning for Fixed-Form Variational Bayes
Variational Bayesian (VB) methods are typically only applied to models in the conjugate-exponential family using the variational Bayesian expectation maximisation (VB EM) algorith...
Antti Honkela, Tapani Raiko, Mikael Kuusela, Matti...
COLT
1998
Springer
13 years 10 months ago
Large Margin Classification Using the Perceptron Algorithm
We introduce and analyze a new algorithm for linear classification which combines Rosenblatt's perceptron algorithm with Helmbold and Warmuth's leave-one-out method. Like...
Yoav Freund, Robert E. Schapire
PVLDB
2010
135views more  PVLDB 2010»
13 years 16 days ago
QSkycube: Efficient Skycube Computation using Point-Based Space Partitioning
Skyline queries have gained considerable attention for multicriteria analysis of large-scale datasets. However, the skyline queries are known to return too many results for highdi...
Jongwuk Lee, Seung-won Hwang
SIGMOD
1997
ACM
160views Database» more  SIGMOD 1997»
13 years 10 months ago
Improved Query Performance with Variant Indexes
: The read-mostly environment of data warehousing makes it possible to use more complex indexes to speed up queries than in situations where concurrent updatesare present. The curr...
Patrick E. O'Neil, Dallan Quass