Statistical matching of multiple sources: A look through coherence

Using Multiple-Variable Matching to Identify EFL Ecological Sources of Differential Item Functioning

Context is a vague notion with numerous building blocks making language test scores inferences quite convoluted. This study has made use of a model of item responding that has striven to theorize the contextual infrastructure of differential item functioning (DIF) research and help specify the sources of DIF. Two steps were taken in this research: first, to identify DIF by gender grouping via l...

Segregating Complex Sound Sources through Temporal Coherence

A new approach for the segregation of monaural sound mixtures is presented based on the principle of temporal coherence and using auditory cortical representations. Temporal coherence is the notion that perceived sources emit coherently modulated features that evoke highly-coincident neural response patterns. By clustering the feature channels with coincident responses and reconstructing their ...

A New Model for Text Coherence Evaluation using Statistical Characteristics

Statistical Learning from Multiple Information Sources

In intelligent information processing tasks such as pattern recognition and information retrieval (IR), probabilistic models are now widely used because they can represent ambiguities of observed data and are robust against noises. Parameters of probabilistic models are statistically estimated (learned) from given training data. However, when the training data contain an insufficient amount of ...

Index matching to improve optical coherence tomography imaging through blood.

BACKGROUND Most myocardial infarctions are caused by the rupture of small rather than large plaques in the arteries of the heart that are beyond the detection limit of current technologies. METHODS AND RESULTS Recently, optical coherence tomography (OCT) has demonstrated considerable potential as a method for high-resolution assessment of vulnerable plaque. However, intravascular OCT imaging ...