Results 41 to 50 of about 649 (143)
LLM‐based prior elicitation for Bayesian graphical modeling
British Journal of Mathematical and Statistical Psychology, EarlyView.ABSTRACT In the Bayesian graphical modeling framework, priors on network structure encode theoretical assumptions and uncertainty about the topology of psychological constructs under study. For instance, the Bernoulli prior specifies the probability of each pairwise interaction, the Beta–Bernoulli prior governs expected network density, and the ...
Nikola Sekulovski +2 more
wiley +1 more source
BMC Bioinformatics, 2010 Background While multiple alignment is the first step of usual classification schemes for biological sequences, alignment-free methods are being increasingly used as alternatives when multiple alignments fail.
Grasseau Gilles +5 more
doaj +1 more source
The Journal of World Intellectual Property, EarlyView.Abstract This study analyses the Court of Justice of the European Union's first referral on generative AI and copyright, that is, Case C‐250/25 Like Company v. Google, which interrogates whether the generation of chatbot summaries of press articles infringes the press publishers' right under Article 15 CDSM Directive and the reproduction and ...
Enrico Bonadio +5 more
wiley +1 more source
Word Predictability as a Measure of Second Language Proficiency
Language Learning, EarlyView.Abstract This study introduces predictabilityBERT, a novel metric for assessing second language (L2) proficiency based on the predictability of word choices in learner language production. Using BERT (Devlin et al., 2019), we calculated the conditional probability of each word in a text given its surrounding context.
Langdon Holmes +3 more
wiley +1 more source
AI foundation models in plant biology
New Phytologist, EarlyView.Foundation models decode genomes, engineer proteins, phenotype crops, and drive AI agents across plant biology. This figure was created in BioRender (BioRender.com/xcmmkel). Summary Rapid technological progress has enabled plant biologists to accumulate unprecedented volumes of multi‐scale, multi‐modal data, yet this abundance of data has intensified ...
Haopeng Yu
wiley +1 more source
On Subword Complexity of Morphic Sequences
, 2008 We study structure of pure morphic and morphic sequences and prove the following result: the subword complexity of arbitrary morphic sequence is either $Θ(n^{1+1/k})$ for some $k\in\mathbb N$, or is $O(n \log n)$.
openaire +2 more sources
A Hopf algebra of subword complexes
Advances in Mathematics, 2017 Several color figures, 31 ...
Nantel Bergeron, Cesar Ceballos
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Quantitative Biology, Volume 14, Issue 3, September 2026.Abstract Genome–phenome association (GPA) prediction can broaden the understanding of biological mechanisms underlying complex phenotypic traits (e.g., diseases and agronomic traits). Traditional deep matrix factorization (DMF)‐based GPA methods can integrate multiple data types and uncover nonlinear associations but often rely on low‐dimensional ...
Ran Duan +4 more
wiley +1 more source
On scattered subword complexity
CoRR, 2011 Special scattered subwords, in which the gaps are of length from a given set, are defined. The scattered subword complexity, which is the number of such scattered subwords, is computed for rainbow words.
openaire +3 more sources
Educational Measurement: Issues and Practice, Volume 45, Issue 3, Fall 2026.Abstract Accurate alignment of items to content standards is critical for valid score interpretation in large‐scale assessments. This study evaluates three automated paradigms for aligning Math items with four domain labels and nineteen skill labels.
Qingshu Xu +6 more
wiley +1 more source