The course gives an introduction to probability theory in a measure-theoretic setting. Among the topics discussed are: Probability measures, σ-algebras, conditional expectations, convergence of random ...

Abstract: A general approach to obtain reduced models for a wide class of discrete-time quantum systems is proposed. The obtained models not only reproduce exactly the output of a given quantum model, ...

Abstract: In this article, we introduce a dynamic generative model, the Bayesian allocation model (BAM), for modeling count data. BAM covers various probabilistic nonnegative tensor factorization (NTF ...

RES.6-012, RES.6, probability, probability models, bayes rule, discrete random variables, continuous random variables, bernoulli process, poisson process, markov chains, central limit theorem, ...

Article Published: 09 October 2014 Conditional deletion of Mecp2 in parvalbumin-expressing GABAergic cells results in the absence of critical period plasticity Ling-jie He, Nan Liu, Tian-lin Cheng, ...

Pix2Pix-Hybrid: Structure-Guided Conditional Synthesis of Hajj Crowd Images with Multi-Channel Conditioning and Weak Attribute Supervision Amirah F. Alshammari , Bander A. Alzahrani , Nahed A. Alowidi ...

Find your added subjects in My Bitesize. Try this quiz based on GCSE Maths past papers. Choose the topic you would like to revise and answer the questions. GCSE Maths: exam-style questions Free ...

The project automatically fetches the latest papers from arXiv based on keywords. The subheadings in the README file represent the search keywords. Only the most recent articles for each keyword are ...

In three regions a second SNP fulfils the filtering criteria and these were followed up with conditional analyses: Chr1: conditional analysis selects only rs1432639 as significant, with P =2.0×10 −4 ...