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PREMI
2005
Springer
16 years 10 days ago
Geometric Decision Rules for Instance-Based Learning Problems
In the typical nonparametric approach to classification in instance-based learning and data mining, random data (the training set of patterns) are collected and used to design a d...
Binay K. Bhattacharya, Kaustav Mukherjee, Godfried...
170
Voted
COLT
1997
Springer
15 years 11 months ago
On-line Learning and the Metrical Task System Problem
We relate two problems that have been explored in two distinct communities. The first is the problem of combining expert advice, studied extensively in the computational learning...
Avrim Blum, Carl Burch
218
Voted
CIVR
2008
Springer
271views Image Analysis» more  CIVR 2008»
15 years 8 months ago
Multiple feature fusion by subspace learning
Since the emergence of extensive multimedia data, feature fusion has been more and more important for image and video retrieval, indexing and annotation. Existing feature fusion t...
Yun Fu, Liangliang Cao, Guodong Guo, Thomas S. Hua...
188
Voted
CORR
2008
Springer
95views Education» more  CORR 2008»
15 years 7 months ago
Explicit Learning: an Effort towards Human Scheduling Algorithms
Scheduling problems are generally NP-hard combinatorial problems, and a lot of research has been done to solve these problems heuristically. However, most of the previous approach...
Jingpeng Li, Uwe Aickelin
179
Voted
JPDC
2011
155views more  JPDC 2011»
14 years 9 months ago
A cellular learning automata-based deployment strategy for mobile wireless sensor networks
: One important problem which may arise in designing a deployment strategy for a wireless sensor network is how to deploy a specific number of sensor nodes throughout an unknown ne...
Mehdi Esnaashari, Mohammad Reza Meybodi