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» An Approach to Classify Semi-structured Objects
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SIGIR
2008
ACM
13 years 7 months ago
Learning from labeled features using generalized expectation criteria
It is difficult to apply machine learning to new domains because often we lack labeled problem instances. In this paper, we provide a solution to this problem that leverages domai...
Gregory Druck, Gideon S. Mann, Andrew McCallum
ICCV
2009
IEEE
13 years 5 months ago
A hybrid generative/discriminative classification framework based on free-energy terms
Hybrid generative-discriminative techniques and, in particular, generative score-space classification methods have proven to be valuable approaches in tackling difficult object or...
Alessandro Perina, Marco Cristani, Umberto Castell...
ICSE
2004
IEEE-ACM
14 years 8 months ago
Concerning Predictability in Dependable Component-Based Systems: Classification of Quality Attributes
One of the main objectives of developing component-based software systems is to enable efficient building of systems through the integration of components. All component models def...
Ivica Crnkovic, Magnus Larsson, Otto Preiss
TIFS
2008
154views more  TIFS 2008»
13 years 7 months ago
Data Fusion and Cost Minimization for Intrusion Detection
Abstract--Statistical pattern recognition techniques have recently been shown to provide a finer balance between misdetections and false alarms than the more conventional intrusion...
Devi Parikh, Tsuhan Chen
PRIB
2010
Springer
242views Bioinformatics» more  PRIB 2010»
13 years 6 months ago
Consensus of Ambiguity: Theory and Application of Active Learning for Biomedical Image Analysis
Abstract. Supervised classifiers require manually labeled training samples to classify unlabeled objects. Active Learning (AL) can be used to selectively label only “ambiguous...
Scott Doyle, Anant Madabhushi