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ICML
1999
IEEE
16 years 7 months ago
Making Better Use of Global Discretization
Before applying learning algorithms to datasets, practitioners often globally discretize any numeric attributes. If the algorithm cannot handle numeric attributes directly, prior ...
Eibe Frank, Ian H. Witten
177
Voted
HEURISTICS
2008
120views more  HEURISTICS 2008»
15 years 7 months ago
A local linear embedding module for evolutionary computation optimization
A Local Linear Embedding (LLE) module enhances the performance of two Evolutionary Computation (EC) algorithms employed as search tools in global optimization problems. The LLE em...
Fabio Boschetti
ICDE
2008
IEEE
161views Database» more  ICDE 2008»
16 years 8 months ago
Trajectory Outlier Detection: A Partition-and-Detect Framework
Outlier detection has been a popular data mining task. However, there is a lack of serious study on outlier detection for trajectory data. Even worse, an existing trajectory outlie...
Jae-Gil Lee, Jiawei Han, Xiaolei Li
ECML
2007
Springer
16 years 1 months ago
Scale-Space Based Weak Regressors for Boosting
Boosting is a simple yet powerful modeling technique that is used in many machine learning and data mining related applications. In this paper, we propose a novel scale-space based...
Jin Hyeong Park, Chandan K. Reddy
IMAGING
2004
15 years 8 months ago
Rendering Non-Pictorial (Scientific) High Dynamic Range Images
This research integrates the techniques used for the display of high dynamic range pictorial imagery for the practical visualization of non-pictorial (scientific) imagery such as ...
Sung-Ho Park, Ethan D. Montag