23 search results - page 2 / 5 » Towards Optimal Naive Bayes Nearest Neighbor |
AI
2005
Springer
13 years 10 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
13 years 11 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 5 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
13 years 11 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
13 years 9 months 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...