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» Support Vector Machines for Multi-class Classification
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ICPR
2008
IEEE
14 years 3 months ago
Spam filtering with several novel bayesian classifiers
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...
Chuanliang Chen, Yingjie Tian, Chunhua Zhang
ICASSP
2009
IEEE
14 years 23 days ago
High-level feature extraction using SVM with walk-based graph kernel
We investigate a method using support vector machines (SVMs) with walk-based graph kernels for high-level feature extraction from images. In this method, each image is first segme...
Jean-Philippe Vert, Tomoko Matsui, Shin'ichi Satoh...
ALMOB
2008
69views more  ALMOB 2008»
13 years 9 months ago
Learning from positive examples when the negative class is undetermined- microRNA gene identification
Background: The application of machine learning to classification problems that depend only on positive examples is gaining attention in the computational biology community. We an...
Malik Yousef, Segun Jung, Louise C. Showe, Michael...
COST
2008
Springer
287views Multimedia» more  COST 2008»
13 years 10 months ago
Facial Expressions Recognition from Image Sequences
Abstract. Human machine interaction is one of the emerging fields for the coming years. Interacting with others in our daily life is a face to face interaction. Faces are the natur...
Zahid Riaz, Christoph Mayer, Michael Beetz, Bernd ...
ICWSM
2009
13 years 6 months ago
Delta TFIDF: An Improved Feature Space for Sentiment Analysis
Mining opinions and sentiment from social networking sites is a popular application for social media systems. Common approaches use a machine learning system with a bag of words f...
Justin Martineau, Tim Finin