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NIPS
2007
15 years 2 months ago
Boosting Algorithms for Maximizing the Soft Margin
We present a novel boosting algorithm, called SoftBoost, designed for sets of binary labeled examples that are not necessarily separable by convex combinations of base hypotheses....
Manfred K. Warmuth, Karen A. Glocer, Gunnar Rä...
117
Voted
ALGOSENSORS
2009
Springer
15 years 7 months ago
Compressing Kinetic Data from Sensor Networks
We introduce a framework for storing and processing kinetic data observed by sensor networks. These sensor networks generate vast quantities of data, which motivates a significant...
Sorelle A. Friedler, David M. Mount
ACL
2001
15 years 2 months ago
Japanese Named Entity Recognition based on a Simple Rule Generator and Decision Tree Learning
Named entity (NE) recognition is a task in which proper nouns and numerical information in a document are detected and classified into categories such as person, organization, loc...
Hideki Isozaki
FTEDA
2006
137views more  FTEDA 2006»
15 years 18 days ago
Statistical Performance Modeling and Optimization
As IC technologies scale to finer feature sizes, it becomes increasingly difficult to control the relative process variations. The increasing fluctuations in manufacturing process...
Xin Li, Jiayong Le, Lawrence T. Pileggi
95
Voted
ICPR
2004
IEEE
16 years 1 months ago
Unsupervised Band Selection for Multispectral Images using Information Theory
In this paper, the implication of the relations of information in the case of multispectral images is analyzed. Higher-order mutual information can adopt positive or negative valu...
Arnoud C. Klaren, Filiberto Pla, José Mart&...