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A unified GRU model for cryptocurrency price prediction and harsh price movement detection using enhanced sentiment analysis. [PDF]

Sci Rep
Nezhad MM, Rouhani S, Mohammadi N, Shahedi A.   +3 more
europepmc   +1 more source

Enhancing encrypted HTTPS traffic classification based on stacked deep ensembles models. [PDF]

Sci Rep
Elshewey AM, Osman AM.
europepmc   +1 more source

Key insights into recommended SMS spam detection datasets. [PDF]

Sci Rep
Johari MF, Chiew KL, Hosen AR, Yong KSC, Khan AS, Abbasi IA, Grzonka D.   +6 more
europepmc   +1 more source

High-throughput neutralization measurements correlate strongly with evolutionary success of human influenza strains. [PDF]

Elife
Kikawa C, Loes AN, Huddleston J, Figgins MD, Steinberg P, Griffiths T, Drapeau EM, Peck H, Barr I, Englund JA, Hensley SE, Bedford T, Bloom JD.   +12 more
europepmc   +1 more source

A hybrid stacked ensemble learning framework for multilabel text emotion detection. [PDF]

Sci Rep
Adamu H, Azmi Murad MA, Nasharuddin NA.
europepmc   +1 more source

The Impact of Sequencing and Genotyping Errors on Bayesian Analysis of Genomic Data under the Multispecies Coalescent Model. [PDF]

Mol Biol Evol
Ji J, Kapli P, Flouri T, Yang Z.
europepmc   +1 more source

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Multinomial Processing Tree Models

Zeitschrift Fuer Psychologie Mit Zeitschrift Fuer Angewandte Psychologie, 2009
Multinomial processing tree (MPT) models have become popular in cognitive psychology in the past two decades. In contrast to general-purpose data analysis techniques, such as log-linear models or other generalized linear models, MPT models are substantively motivated stochastic models for categorical data.
Edgar Erdfelder, Benjamin E Hilbig, André Assfalg   +2 more
exaly   +2 more sources

Multinomial processing tree models: An implementation [PDF]

Behavior Research Methods, 1999
Multinomial processing tree (MPT) models have been widely used by researchers in cognitive psychology. This paper introduces MBT.EXE, a computer program that makes MPT easy to use for researchers. MBT.EXE implements the statistical theory developed by Hu and Batchelder (1994).
Xiangen Hu, Hu Xiangen
exaly   +3 more sources

Sequential hypothesis tests for multinomial processing tree models

Journal of Mathematical Psychology, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Martin Schnuerch, Edgar Erdfelder, Daniel W Heck   +2 more
exaly   +4 more sources

Multinomial Processing Tree Models for Discrete Choice

Zeitschrift Fuer Psychologie Mit Zeitschrift Fuer Angewandte Psychologie, 2009
This paper shows how to develop new multinomial processing tree (MPT) models for discrete choice, and in particular binary choice. First it reviews the history of discrete choice with special attention to Duncan Luce’s book Individual Choice Behavior. Luce’s choice axiom leads to the Bradley-Terry-Luce (BTL) paired-comparison model which is the basis ...
William H Batchelder, Xiangen Hu
exaly   +2 more sources