Sequential Normalization: Embracing Smaller Sample Sizes for Normalization

cDNA Microarray Data Normalization

Development and Normalization of Emotion Regulation Strategies about Germophobia Questionnaire: A Pilot Study in Iranian Sample

Objective: The COVID-19 has recently identified as a pandemic by World Health Organization. The outbreak of the disease has caused many people around the world to become extremely frightened and they show phobic signs. Fear is basic emotion of anxiety disorders and individuals cope with their emotions by different strategies. The purpose of present study was to developing and normalizing of emo...

Look-ahead sequential feature vector normalization for noisy speech recognition

Cepstral mean subtraction (CMS), which is a simple long-term bias removal, is used to compensate for transmission and linear xed channel e ects. In order to process the non-linear channel, a two-level CMS was proposed where separate channel compensation is performed for segments that are classi ed as speech and for segments classied as background. In this paper, methods for extending the two-le...

Weak βη-Normalization and Normalization by Evaluation for System F

A general version of the fundamental theorem for System F is presented which can be instantiated to obtain proofs of weak βand βη-normalization and normalization by evaluation.

Automatically Extracting Variant-Normalization Pairs for Japanese Text Normalization

Social media texts, such as tweets from Twitter, contain many types of nonstandard tokens, and the number of normalization approaches for handling such noisy text has been increasing. We present a method for automatically extracting pairs of a variant word and its normal form from unsegmented text on the basis of a pair-wise similarity approach. We incorporated the acquired variant-normalizatio...