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» Evaluating Usefulness for Dynamic Classification
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ICML
2008
IEEE
14 years 8 months ago
Classification using discriminative restricted Boltzmann machines
Recently, many applications for Restricted Boltzmann Machines (RBMs) have been developed for a large variety of learning problems. However, RBMs are usually used as feature extrac...
Hugo Larochelle, Yoshua Bengio
BMCBI
2008
136views more  BMCBI 2008»
13 years 7 months ago
A comparison of machine learning algorithms for chemical toxicity classification using a simulated multi-scale data model
Background: Bioactivity profiling using high-throughput in vitro assays can reduce the cost and time required for toxicological screening of environmental chemicals and can also r...
Richard Judson, Fathi Elloumi, R. Woodrow Setzer, ...
JIIS
2006
73views more  JIIS 2006»
13 years 7 months ago
Using KCCA for Japanese-English cross-language information retrieval and document classification
Kernel Canonical Correlation Analysis (KCCA) is a method of correlating linear relationship between two variables in a kernel defined feature space. A machine learning algorithm b...
Yaoyong Li, John Shawe-Taylor
ACL
2008
13 years 9 months ago
Which Are the Best Features for Automatic Verb Classification
In this work, we develop and evaluate a wide range of feature spaces for deriving Levinstyle verb classifications (Levin, 1993). We perform the classification experiments using Ba...
Jianguo Li, Chris Brew
CIVR
2003
Springer
154views Image Analysis» more  CIVR 2003»
14 years 28 days ago
Detecting Semantic Concepts from Video Using Temporal Gradients and Audio Classification
In this paper we describe new methods to detect semantic concepts from digital video based on audible and visual content. Temporal Gradient Correlogram captures temporal correlatio...
Mika Rautiainen, Tapio Seppänen, Jani Penttil...