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IROS
2006
IEEE
168views Robotics» more  IROS 2006»
15 years 9 months ago
Learning to Drive Among Obstacles
— This paper reports on an outdoor mobile robot that learns to avoid collisions by observing a human driver operate a vehicle equipped with sensors that continuously produce a ma...
Bradley Hamner, Sebastian Scherer, Sanjiv Singh
ICDM
2002
IEEE
133views Data Mining» more  ICDM 2002»
15 years 8 months ago
Learning with Progressive Transductive Support Vector Machine
Support vector machine (SVM) is a new learning method developed in recent years based on the foundations of statistical learning theory. By taking a transductive approach instead ...
Yisong Chen, Guoping Wang, Shihai Dong
98
Voted
ALT
1998
Springer
15 years 7 months ago
Predictive Learning Models for Concept Drift
Concept drift means that the concept about which data is obtained may shift from time to time, each time after some minimum permanence. Except for this minimum permanence, the con...
John Case, Sanjay Jain, Susanne Kaufmann, Arun Sha...
PROFES
2010
Springer
15 years 7 months ago
Regularities in Learning Defect Predictors
Collecting large consistent data sets for real world software projects is problematic. Therefore, we explore how little data are required before the predictor performance plateaus...
Burak Turhan, Ayse Basar Bener, Tim Menzies
AIRS
2010
Springer
15 years 1 months ago
Semantic Relation Extraction Based on Semi-supervised Learning
Many tasks of information extraction or natural language processing have a property that the data naturally consist of several views--disjoint subsets of features. Specifically, a ...
Haibo Li, Yutaka Matsuo, Mitsuru Ishizuka