Results 31 to 40 of about 822,611 (252)

Ordering-sensitive and Semantic-aware Topic Modeling

, 2015
Topic modeling of textual corpora is an important and challenging problem. In most previous work, the "bag-of-words" assumption is usually made which ignores the ordering of words.
Cui, Tianyi, Tu, Wenting, Yang, Min
core   +2 more sources

Mixture Models

, 2017
Finite mixture models are one of the probabilistic frameworks which reach an especially diverse community of people, including statisticians and practitioners (scientific or not). Initial reasons for being confronted with mixtures may be different for impacted communities but lead finally to close interconnections between them.
Vermunt, J.K., Paas, L.J.
openaire   +5 more sources

Epitope profiling via mixture modeling of ranked data

, 2014
We propose the use of probability models for ranked data as a useful alternative to a quantitative data analysis to investigate the outcome of bioassay experiments, when the preliminary choice of an appropriate normalization method for the raw numerical ...
Benter, Busse, Caron, Critchlow, Critchlow, Croon, Croon, Dempster, Diaconis, Fligner, Fligner, Fraley, Gabrielli, Gormley, Gormley, Gormley, Gormley, Guiver, Hunter, Hunter, Lange, Lee, Luce, Marden, McLachlan, McLachlan, McNicholas, Murphy, Plackett, Schwarz, Vaida   +30 more
core   +1 more source

Selecting the Number of Clusters in Mixture Multigroup Structural Equation Modeling

Methodology
Behavioral scientists often use Multigroup Structural Equation Modeling (MG-SEM) to compare groups in terms of their latent variables (LVs) relations — also called 'structural relations’.
Andres F. Perez Alonso, Jeroen K. Vermunt, Yves Rosseel, Kim De Roover   +3 more
doaj   +1 more source

Mixture Multilevel SEM vs. Multilevel SEM for comparing structural relations across groups in presence of measurement non-invariance

Frontiers in Psychology
Structural equation modeling (SEM) is commonly used to explore relations between latent variables, such as beliefs and attitudes. However, comparing structural relations across a large number of groups, such as countries or classrooms, can be challenging.
Hongwei Zhao, Jeroen K. Vermunt, Kim De Roover, Kim De Roover   +3 more
doaj   +1 more source

Generating Realistic Labelled, Weighted Random Graphs

Algorithms, 2015
Generative algorithms for random graphs have yielded insights into the structure and evolution of real-world networks. Most networks exhibit a well-known set of properties, such as heavy-tailed degree distributions, clustering and community formation ...
Michael Charles Davis, Zhanyu Ma, Weiru Liu, Paul Miller, Ruth Hunter, Frank Kee   +5 more
doaj   +1 more source

The HIT Network for Children and Adolescents With CNS Tumors Facilitates Improvements of Diagnostic Assessments, Multimodal Treatments, Individual Counseling, and Research in Germany, Austria, and Switzerland

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background The HIT network was established in 2000 to create a population‐based structure aiming to improve survival rates and reduce late effects for children with central nervous system (CNS) tumors by conducting comprehensive clinical trials.
Stefan Rutkowski, Michael C. Frühwald, Gudrun Fleischhack, Stephan Tippelt, Pablo Hernáiz‐Driever, Olaf Witt, Astrid Gnekow, Christof Kramm, Matthias Eyrich, Johannes E. A. Wolf, Hermann Müller, Carsten Friedrich, Uwe R. Kordes, Denise Obrecht‐Sturm, Petra Ketteler, Barbara von Zezschwitz, Pascal Johann, Dominik Sturm, Karoline Nemes, Stefan Schönberger, Till Milde, Brigitte Bison, Monika Warmuth‐Metz, Torsten Pietsch, Ulrich Schüller, Arend Koch, David Capper, Martin Hasselblatt, Christian Thomas, Christian Hagel, Stefan M. Pfister, Felix Sahm, David T. W. Jones, Martin U. Schuhmann, Jürgen Krauss, Pedram Emami, Ahmed El Damaty, Rolf D. Kortmann, Rudolf Schwarz, Jürgen Debus, Mechthild Krause, Fabian Pohl, Holger Ottensmeier, Lisa Bußenius, Katja Baust, Andreas Faldum, Cecile Ronckers, Desiree Grabow, Martin Benesch, Thomas Perwein, Karin Dieckmann, Irene Slavc, Johannes Gojo, Nicolas U. Gerber, André O. von Bueren, Katrin Scheinemann, Gabriele Calaminus, Beate Timmermann, Ulrich‐Wilhelm Thomale, Martin Mynarek   +59 more
wiley   +1 more source

A Mixture IRT Analysis of Risky Youth Behavior

Frontiers in Psychology, 2011
The study reported in this manuscript used a mixture item response model with data from the Youth Risk Behavior Survey 2009 (N = 16,410) to identify subtypes of adolescents at-risk for engaging in unhealthy behaviors, and to find individual survey items ...
Holmes eFinch, Eric ePierson
doaj   +1 more source

Modeling Multivariate Spray Characteristics with Gaussian Mixture Models

Energies, 2023
With the increasing demand for efficient and accurate numerical simulations of spray combustion in jet engines, the necessity for robust models to enhance the capabilities of spray models has become imperative.
Markus Wicker, Cihan Ates, Max Okraschevski, Simon Holz, Rainer Koch, Hans-Jörg Bauer   +5 more
doaj   +1 more source

Stressful Events Reported by Childhood Cancer Survivors and Community Controls From the St. Jude Lifetime (SJLIFE) Cohort: A Mixed Method Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Characterizing stressful events reported by childhood cancer survivors experienced throughout the lifespan may help improve trauma‐informed care relevant to the survivor experience. Methods Participants included 2552 survivors (54% female; 34 years of age) and 469 community controls (62% female; 33 years of age) from the St.
Megan E. Ware, Colter K. Clayton, Fang Wang, Sedigheh Mirzaei, Kyla Shelton, Tara M. Brinkman, Victoria Willard, Katianne M. Howard Sharp, Kevin Krull, Lindsay F. Schwartz, Melissa M. Hudson, Gregory T. Armstrong, Kirsten K. Ness, Rachel T. Webster   +13 more
wiley   +1 more source