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» A Case Study for Learning from Imbalanced Data Sets
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SADM
2010
196views more  SADM 2010»
13 years 2 months ago
Bayesian adaptive nearest neighbor
: The k nearest neighbor classification (k-NN) is a very simple and popular method for classification. However, it suffers from a major drawback, it assumes constant local class po...
Ruixin Guo, Sounak Chakraborty
TCC
2010
Springer
169views Cryptology» more  TCC 2010»
14 years 4 months ago
On Complete Primitives for Fairness
Abstract. For secure two-party and multi-party computation with abort, classification of which primitives are complete has been extensively studied in the literature. However, for...
S. Dov Gordon, Yuval Ishai, Tal Moran, Rafail Ostr...
KDD
2007
ACM
151views Data Mining» more  KDD 2007»
14 years 8 months ago
Efficient mining of iterative patterns for software specification discovery
Studies have shown that program comprehension takes up to 45% of software development costs. Such high costs are caused by the lack-of documented specification and further aggrava...
Chao Liu 0001, David Lo, Siau-Cheng Khoo
CAISE
2003
Springer
14 years 29 days ago
Building a Collaborative Information Agent in a HomeBot Application
Abstract Information agents are cooperative agents whose main goal is to collaborate and assist task agents like mobile agents in obtaining information from heterogeneous data sour...
Lito Perez Cruz, Arkady B. Zaslavsky, David Squire
ICCV
2011
IEEE
12 years 7 months ago
What Characterizes a Shadow Boundary under the Sun and Sky?
Despite decades of study, robust shadow detection remains difficult, especially within a single color image. We describe a new approach to detect shadow boundaries in images of o...
Xiang Huang, Gang Hua, Jack Tumblin, Lance William...