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CIKM
2008
Springer
15 years 5 months ago
Learning a two-stage SVM/CRF sequence classifier
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
Guilherme Hoefel, Charles Elkan
CIKM
2008
Springer
15 years 5 months ago
Trada: tree based ranking function adaptation
Machine Learned Ranking approaches have shown successes in web search engines. With the increasing demands on developing effective ranking functions for different search domains, ...
Keke Chen, Rongqing Lu, C. K. Wong, Gordon Sun, La...
DIMEA
2007
132views Multimedia» more  DIMEA 2007»
15 years 5 months ago
On the production of creative subjectivity
Businesses today are requiring higher levels of creativity and innovation in the face of rapid change, fierce competition and increasingly complex markets. Nowhere is the more obv...
Brett Rolfe
COLT
2008
Springer
15 years 5 months ago
On the Margin Explanation of Boosting Algorithms
Much attention has been paid to the theoretical explanation of the empirical success of AdaBoost. The most influential work is the margin theory, which is essentially an upper bou...
Liwei Wang, Masashi Sugiyama, Cheng Yang, Zhi-Hua ...
MASCOTS
2008
15 years 5 months ago
Tackling the Memory Balancing Problem for Large-Scale Network Simulation
A key obstacle to large-scale network simulation over PC clusters is the memory balancing problem where a memory-overloaded machine can slow down an entire simulation due to disk ...
Hyojeong Kim, Kihong Park