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KDD
2012
ACM
178views Data Mining» more  KDD 2012»
13 years 9 months ago
Mining emerging patterns by streaming feature selection
Building an accurate emerging pattern classifier with a highdimensional dataset is a challenging issue. The problem becomes even more difficult if the whole feature space is unava...
Kui Yu, Wei Ding 0003, Dan A. Simovici, Xindong Wu
AAAI
2012
13 years 9 months ago
Emoticon Smoothed Language Models for Twitter Sentiment Analysis
Twitter sentiment analysis (TSA) has become a hot research topic in recent years. The goal of this task is to discover the attitude or opinion of the tweets, which is typically fo...
Kun-Lin Liu, Wu-Jun Li, Minyi Guo
195
Voted
BMCBI
2008
138views more  BMCBI 2008»
15 years 7 months ago
Using neural networks and evolutionary information in decoy discrimination for protein tertiary structure prediction
Background: We present a novel method of protein fold decoy discrimination using machine learning, more specifically using neural networks. Here, decoy discrimination is represent...
Ching-Wai Tan, David T. Jones
CADE
2007
Springer
16 years 7 months ago
MaLARea: a Metasystem for Automated Reasoning in Large Theories
MaLARea (a Machine Learner for Automated Reasoning) is a simple metasystem iteratively combining deductive Automated Reasoning tools (now the E and the SPASS ATP systems) with a m...
Josef Urban
ICDM
2009
IEEE
160views Data Mining» more  ICDM 2009»
16 years 1 months ago
Fast Online Training of Ramp Loss Support Vector Machines
—A fast online algorithm OnlineSVMR for training Ramp-Loss Support Vector Machines (SVMR s) is proposed. It finds the optimal SVMR for t+1 training examples using SVMR built on t...
Zhuang Wang, Slobodan Vucetic