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» An Approach to Improving Existing Measurement Frameworks
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SAT
2010
Springer
158views Hardware» more  SAT 2010»
13 years 12 months ago
Dynamic Scoring Functions with Variable Expressions: New SLS Methods for Solving SAT
Abstract. We introduce a new conceptual model for representing and designing Stochastic Local Search (SLS) algorithms for the propositional satisfiability problem (SAT). Our model...
Dave A. D. Tompkins, Holger H. Hoos
CIKM
2009
Springer
13 years 11 months ago
Mining data streams with periodically changing distributions
Dynamic data streams are those whose underlying distribution changes over time. They occur in a number of application domains, and mining them is important for these applications....
Yingying Tao, M. Tamer Özsu
ECCV
2008
Springer
13 years 10 months ago
Multiple Instance Boost Using Graph Embedding Based Decision Stump for Pedestrian Detection
Pedestrian detection in still image should handle the large appearance and stance variations arising from the articulated structure, various clothing of human as well as viewpoints...
Junbiao Pang, Qingming Huang, Shuqiang Jiang
MEDINFO
2007
112views Healthcare» more  MEDINFO 2007»
13 years 9 months ago
SNOMED CT's Problem List: Ontologists' and Logicians' Therapy Suggestions
After a critical review of the present architecture of SNOMED CT, addressing both logical and ontological issues, we present a roadmap towards an overall improvement of this termi...
Stefan Schulz, Boontawee Suntisrivaraporn, Franz B...
NIPS
2007
13 years 9 months ago
A General Boosting Method and its Application to Learning Ranking Functions for Web Search
We present a general boosting method extending functional gradient boosting to optimize complex loss functions that are encountered in many machine learning problems. Our approach...
Zhaohui Zheng, Hongyuan Zha, Tong Zhang, Olivier C...