Results 131 to 140 of about 82,404,384 (192)
Topological data analysis and topological deep learning beyond persistent homology: a review. [PDF]
Su Z +7 more
europepmc +1 more source
Abstract As students learn and practice new skills in university courses, their behaviour can change in response to competing demands and increasing content complexity. However, most metrics used to evaluate study behaviour focus on the number or sequence of activities rather than on the change of behaviour.
Oleksandra Poquet +2 more
wiley +1 more source
Model selection over partially ordered sets. [PDF]
Taeb A, Bühlmann P, Chandrasekaran V.
europepmc +1 more source
Balanced ideals and domains of discontinuity of Anosov representations
Stecker F.
europepmc +1 more source
The multi-stripe travelling salesman problem. [PDF]
Çela E, Deineko VG, Woeginger GJ.
europepmc +1 more source
An extension of the basic local independence model to multiple observed classifications
Abstract The basic local independence model (BLIM) is appropriate in situations where populations do not differ in the probabilities of the knowledge states and the probabilities of careless errors and lucky guesses of the items. In some situations, this is not the case. This work introduces the multiple observed classification local independence model
Pasquale Anselmi +8 more
wiley +1 more source
Abstract Standardized mean differences (SMDs) are widely used to quantify treatment effects in cluster‐randomized trials. However, covariate adjustment in hierarchical linear models reduces the residual variance components used for standardization, which artificially inflates effect size estimates and undermines comparability across studies. We propose
Juyoung Jung +2 more
wiley +1 more source
A metagenomic investigation of the faecal RNA virome structure of asymptomatic chickens obtained from a commercial farm in Durban, KwaZulu-Natal province, South Africa. [PDF]
Nwokorogu VC +5 more
europepmc +1 more source
Abstract Two classes of probabilistic models are compared: the true and error (TE) type models and models in the family of the basic local independence model (BLIM). The former finds applications in the study of human preference, whereas the latter has been developed within the theory of knowledge structures with the aim of producing knowledge ...
Luca Stefanutti +2 more
wiley +1 more source
Inference under Covariate-Adaptive Randomization. [PDF]
Bugni FA, Canay IA, Shaikh AM.
europepmc +1 more source

