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142
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SAC
2010
ACM
15 years 9 months ago
Feature selection for ordinal regression
Ordinal regression (also known as ordinal classification) is a supervised learning task that consists of automatically determining the implied rating of a data item on a fixed, ...
Stefano Baccianella, Andrea Esuli, Fabrizio Sebast...
120
Voted
MLMI
2007
Springer
15 years 8 months ago
Automatic Annotation of Dialogue Structure from Simple User Interaction
Abstract. In [1], we presented a method for automatic detection of action items from natural conversation. This method relies on supervised classification techniques that are trai...
Matthew Purver, John Niekrasz, Patrick Ehlen
ICDM
2006
IEEE
158views Data Mining» more  ICDM 2006»
15 years 8 months ago
Detection of Interdomain Routing Anomalies Based on Higher-Order Path Analysis
Internet routing dynamics have been extensively studied in the past few years. However, dynamics such as interdomain Border Gateway Protocol (BGP) behavior are still poorly unders...
Murat Can Ganiz, Sudhan Kanitkar, Mooi Choo Chuah,...
111
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IDEAL
2005
Springer
15 years 8 months ago
SOM-Based Novelty Detection Using Novel Data
Novelty detection involves identifying novel patterns. They are not usually available during training. Even if they are, the data quantity imbalance leads to a low classification ...
Hyoungjoo Lee, Sungzoon Cho
NIPS
2000
15 years 3 months ago
Temporally Dependent Plasticity: An Information Theoretic Account
The paradigm of Hebbian learning has recently received a novel interpretation with the discovery of synaptic plasticity that depends on the relative timing of pre and post synapti...
Gal Chechik, Naftali Tishby