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» Learning Distance Functions using Equivalence Relations
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PRL
2006
146views more  PRL 2006»
13 years 9 months ago
Boosting the distance estimation: Application to the K-Nearest Neighbor Classifier
In this work we introduce a new distance estimation technique by boosting and we apply it to the K-Nearest Neighbor Classifier (KNN). Instead of applying AdaBoost to a typical cla...
Jaume Amores, Nicu Sebe, Petia Radeva
TLCA
2005
Springer
14 years 3 months ago
Relational Reasoning in a Nominal Semantics for Storage
We give a monadic semantics in the category of FM-cpos to a higher-order CBV language with recursion and dynamically allocated mutable references that may store both ground data an...
Nick Benton, Benjamin Leperchey
IJCNLP
2005
Springer
14 years 3 months ago
Mining Inter-Entity Semantic Relations Using Improved Transductive Learning
This paper studies the problem of mining relational data hidden in natural language text. In particular, it approaches the relation classification problem with the strategy of tra...
Zhu Zhang
DATE
2004
IEEE
119views Hardware» more  DATE 2004»
14 years 1 months ago
MINCE: Matching INstructions Using Combinational Equivalence for Extensible Processor
Designing custom-extensible instructions for Extensible Processors1 is a computationally complex task because of the large design space. The task of automatically matching candida...
Newton Cheung, Sri Parameswaran, Jörg Henkel,...
MM
2005
ACM
134views Multimedia» more  MM 2005»
14 years 3 months ago
Formulating context-dependent similarity functions
Tasks of information retrieval depend on a good distance function for measuring similarity between data instances. The most effective distance function must be formulated in a con...
Gang Wu, Edward Y. Chang, Navneet Panda