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123
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KDD
2007
ACM
181views Data Mining» more  KDD 2007»
16 years 4 months ago
BoostCluster: boosting clustering by pairwise constraints
Data clustering is an important task in many disciplines. A large number of studies have attempted to improve clustering by using the side information that is often encoded as pai...
Yi Liu, Rong Jin, Anil K. Jain
146
Voted
ICML
2010
IEEE
15 years 1 months ago
Implicit Online Learning
Online learning algorithms have recently risen to prominence due to their strong theoretical guarantees and an increasing number of practical applications for large-scale data ana...
Brian Kulis, Peter L. Bartlett
133
Voted
ICN
2005
Springer
15 years 9 months ago
Maximizing System Value Among Interested Packets While Satisfying Time and Energy Constraints
: Data filtering is an important approach to reduce energy consumption. Following this idea, Interest is used as a constraint to filter uninterested data in sensor networks. Within...
Lei Shu, Sungyoung Lee, Xiaoling Wu, Jie Yang
116
Voted
MLDM
2009
Springer
15 years 10 months ago
Discretization of Target Attributes for Subgroup Discovery
Abstract. We describe an algorithm called TargetCluster for the discretization of continuous targets in subgroup discovery. The algorithm identifies patterns in the target data an...
Katherine Moreland, Klaus Truemper
131
Voted
NIPS
2004
15 years 5 months ago
Boosting on Manifolds: Adaptive Regularization of Base Classifiers
In this paper we propose to combine two powerful ideas, boosting and manifold learning. On the one hand, we improve ADABOOST by incorporating knowledge on the structure of the dat...
Balázs Kégl, Ligen Wang