Query by Transduction

There has been recently a growing interest in the use of transductive inference for learning. We expand here the scope of transductive inference to active learning in a stream-based setting. Towards that end this paper proposes Query-by-Transduction (QBT) as a novel active learning algorithm. QBT qu...

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Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence Jg. 30; H. 9; S. 1557 - 1571
Hauptverfasser:	Shen-Shyang Ho, Wechsler, H.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Los Alamitos, CA IEEE 01.09.2008 IEEE Computer Society The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Applied sciences Artificial Intelligence Bayesian methods Classification Computer science; control theory; systems Data processing. List processing. Character string processing Exact sciences and technology Feasibility Frequency Inference Inference algorithms Information Storage and Retrieval - methods Information systems. Data bases Labeling Learning Machine learning Mathematics Memory organisation. Data processing Pattern analysis Pattern Recognition, Automated - methods Probability and statistics Query processing Sampling methods Sampling theory, sample surveys Sciences and techniques of general use Sensitivity and Specificity Software Statistical Statistical analysis Statistics Support vector machine classification Support vector machines Tasks Testing Utilities Statistical Machine learning Bayes estimation Statistical analysis Divergence Random sampling Database query hypothesis testing Active learning Inference Shannon theory transductive inference Hypothesis test Statistical test support vector machine Active system Kolmogorov complexity Vector support machine Feasibility Learning algorithm Pattern analysis Kolmogorov equation Artificial intelligence Multiclass
ISSN:	0162-8828, 1939-3539
Online-Zugang:	Volltext
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