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» Learning to Identify Unexpected Instances in the Test Set
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DATAMINE
2008
143views more  DATAMINE 2008»
13 years 7 months ago
Automatically countering imbalance and its empirical relationship to cost
Learning from imbalanced datasets presents a convoluted problem both from the modeling and cost standpoints. In particular, when a class is of great interest but occurs relatively...
Nitesh V. Chawla, David A. Cieslak, Lawrence O. Ha...
ICDM
2010
IEEE
197views Data Mining» more  ICDM 2010»
13 years 5 months ago
D-LDA: A Topic Modeling Approach without Constraint Generation for Semi-defined Classification
: D-LDA: A Topic Modeling Approach without Constraint Generation for Semi-Defined Classification Fuzhen Zhuang, Ping Luo, Zhiyong Shen, Qing He, Yuhong Xiong, Zhongzhi Shi HP Labo...
Fuzhen Zhuang, Ping Luo, Zhiyong Shen, Qing He, Yu...
ICRA
2006
IEEE
108views Robotics» more  ICRA 2006»
14 years 1 months ago
Classifying Knee Pathologies using Instantaneous Screws of the Six Degrees-of-freedom Knee Motion
– We address the problem of knee pathology assessment by using screw theory to describe the knee motion and by using the screw representation of the motion as an input to a machi...
Alon Wolf, Amir Degani
ICCAD
2009
IEEE
96views Hardware» more  ICCAD 2009»
13 years 5 months ago
PSTA-based branch and bound approach to the silicon speedpath isolation problem
The lack of good "correlation" between pre-silicon simulated delays and measured delays on silicon (silicon data) has spurred efforts on so-called silicon debug. The ide...
Sari Onaissi, Khaled R. Heloue, Farid N. Najm
CPHYSICS
2006
182views more  CPHYSICS 2006»
13 years 7 months ago
MinFinder: Locating all the local minima of a function
A new stochastic clustering algorithm is introduced that aims to locate all the local minima of a multidimensional continuous and differentiable function inside a bounded domain. ...
Ioannis G. Tsoulos, Isaac E. Lagaris