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APPROX
2007
Springer
99views Algorithms» more  APPROX 2007»
13 years 11 months ago
Small Approximate Pareto Sets for Bi-objective Shortest Paths and Other Problems
We investigate the problem of computing a minimum set of solutions that approximates within a specified accuracy the Pareto curve of a multiobjective optimization problem. We show...
Ilias Diakonikolas, Mihalis Yannakakis
ECML
2007
Springer
13 years 11 months ago
Learning to Classify Documents with Only a Small Positive Training Set
Many real-world classification applications fall into the class of positive and unlabeled (PU) learning problems. In many such applications, not only could the negative training ex...
Xiaoli Li, Bing Liu, See-Kiong Ng
KDD
2000
ACM
77views Data Mining» more  KDD 2000»
13 years 8 months ago
Small is beautiful: discovering the minimal set of unexpected patterns
A drawback of most traditional data mining methods is that they do not leverage prior knowledge of users. In many business settings, managers and analysts have significant intuiti...
Balaji Padmanabhan, Alexander Tuzhilin
CVPR
2009
IEEE
14 years 19 hour ago
Sigma Set: A small second order statistical region descriptor
Given an image region of pixels, second order statistics can be used to construct a descriptor for object representation. One example is the covariance matrix descriptor, which sh...
Xiaopeng Hong, Hong Chang, Shiguang Shan, Xilin Ch...
JSS
2007
118views more  JSS 2007»
13 years 5 months ago
A new imputation method for small software project data sets
Effort prediction is a very important issue for software project management. Historical project data sets are frequently used to support such prediction. But missing data are oft...
Qinbao Song, Martin J. Shepperd