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ICML
2009
IEEE
15 years 10 months ago
Semi-supervised learning using label mean
Semi-Supervised Support Vector Machines (S3VMs) typically directly estimate the label assignments for the unlabeled instances. This is often inefficient even with recent advances ...
Yu-Feng Li, James T. Kwok, Zhi-Hua Zhou
ICML
2005
IEEE
15 years 10 months ago
A smoothed boosting algorithm using probabilistic output codes
AdaBoost.OC has shown to be an effective method in boosting "weak" binary classifiers for multi-class learning. It employs the Error Correcting Output Code (ECOC) method...
Rong Jin, Jian Zhang
KDD
2006
ACM
136views Data Mining» more  KDD 2006»
15 years 10 months ago
Mining quantitative correlated patterns using an information-theoretic approach
Existing research on mining quantitative databases mainly focuses on mining associations. However, mining associations is too expensive to be practical in many cases. In this pape...
Yiping Ke, James Cheng, Wilfred Ng
VLDB
2005
ACM
177views Database» more  VLDB 2005»
15 years 10 months ago
Indexing mobile objects using dual transformations
With the recent advances in wireless networks, embedded systems and GPS technology, databases that manage the location of moving objects have received increased interest. In this ...
George Kollios, Dimitris Papadopoulos, Dimitrios G...
ICESS
2007
Springer
15 years 4 months ago
Sleep Nodes Scheduling in Cluster-Based Heterogeneous Sensor Networks Using AHP
Abstract. Wireless sensor networks (WSNs) are comprised of energy constrained nodes. This limitation has led to the crucial need for energy-aware protocols to produce an efficient ...
Xiaoling Wu, Jinsung Cho, Brian J. d'Auriol, Sungy...