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ICPR
2010
IEEE
13 years 11 months ago
On-Line Random Naive Bayes for Tracking
—Randomized learning methods (i.e., Forests or Ferns) have shown excellent capabilities for various computer vision applications. However, it was shown that the tree structure in...
Martin Godec, Christian Leistner, Amir Saffari, Ho...
SIGCSE
2002
ACM
149views Education» more  SIGCSE 2002»
13 years 4 months ago
A comprehensive project for CS2: combining key data structures and algorithms into an integrated web browser and search engine
We present our experience using a large, real-world application as a course project for the second half of the semester of a CS2 course. Our primary goal for the project was to cr...
Tia Newhall, Lisa Meeden
JAVA
2000
Springer
13 years 8 months ago
A portable sampling-based profiler for Java virtual machines
This paper describes a portable and efficient sampling-based online measurement system for production-level Java virtual machines. This system is designed to provide continuous re...
John Whaley
FSKD
2007
Springer
98views Fuzzy Logic» more  FSKD 2007»
13 years 11 months ago
Learning Selective Averaged One-Dependence Estimators for Probability Estimation
Naïve Bayes is a well-known effective and efficient classification algorithm, but its probability estimation performance is poor. Averaged One-Dependence Estimators, simply AODE,...
Qing Wang, Chuan-hua Zhou, Jiankui Guo
IJCAI
1989
13 years 6 months ago
Noise-Tolerant Instance-Based Learning Algorithms
Several published reports show that instancebased learning algorithms yield high classification accuracies and have low storage requirements during supervised learning application...
David W. Aha, Dennis F. Kibler