23 search results - page 2 / 5 » Towards Optimal Naive Bayes Nearest Neighbor |
AI
2005
Springer
14 years 2 months ago
2005
Springer
The instance-based k-nearest neighbor algorithm (KNN)[1] is an effective classification model. Its classification is simply based on a vote within the neighborhood, consisting o...
ICPR
2008
IEEE
14 years 3 months ago
2008
IEEE
In this paper, we report our work on spam filtering with three novel bayesian classification methods: Aggregating One-Dependence Estimators (AODE), Hidden Naïve Bayes (HNB), Loca...
ICCV
2011
IEEE
12 years 8 months ago
2011
IEEE
Naive Bayes Nearest Neighbor (NBNN) has recently been proposed as a powerful, non-parametric approach for object classification, that manages to achieve remarkably good results t...
ICASSP
2008
IEEE
14 years 3 months ago
2008
IEEE
Bayesian hypothesis testing is investigated when the prior probabilities of the hypotheses, taken as a random vector, must be quantized. Nearest neighbor and centroid conditions f...
SIGIR
1999
ACM
14 years 25 days ago
1999
ACM
This paper reports a controlled study with statistical signi cance tests on ve text categorization methods: the Support Vector Machines (SVM), a k-Nearest Neighbor (kNN) classi er...