Fine-Tunning a MAP Error Corrections Algorithm for Five-Key Chording Keyboards

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Efficient excitation of nuclei via exchange of a real or virtual photon has a fundamental importance for nuclear science and technology development. Here, we present a mechanism of nuclear excitation based on the capture of a free muon into the atomic orbi ...

Compared with the bit-wise successive cancellation list (SCL) decoding of polar codes, the node-based Fast SCL decoding significantly reduces the decoding latency by identifying special constituent codes and decoding these in parallel. To further reduce th ...

Background Coercion in psychiatry is a controversial issue. Identifying its predictors and their interaction using traditional statistical methods is difficult, given the large number of variables involved. The purpose of this study was to use machine-lear ...

The de-facto standard decoding algorithm for polar codes, successive cancellation list (SCL) decoding, is a breadth-first search algorithm. By keeping a list of candidate codewords, SCL decoding improves the performance as the list size L increases. Howeve ...

We propose a statistically optimal approach to construct data-driven decisions for stochastic optimization problems. Fundamentally, a data-driven decision is simply a function that maps the available training data to a feasible action. It can always be exp ...

In this work, the probability of an event under some joint distribution is bounded by measuring it with the product of the marginals instead (which is typically easier to analyze) together with a measure of the dependence between the two random variables. ...

We present a novel probabilistic finite element method (FEM) for the solution and uncertainty quantification of elliptic partial differential equations based on random meshes, which we call random mesh FEM (RM-FEM). Our methodology allows to introduce a pr ...

In this thesis we explore uncertainty quantification of forward and inverse problems involving differential equations. Differential equations are widely employed for modeling natural and social phenomena, with applications in engineering, chemistry, meteor ...

Fine-Tunning a MAP Error Corrections Algorithm for Five-Key Chording Keyboards

Chattez avec Graph Search

Nuclear Excitation by Free Muon Capture

Fast Sequence Repetition Node-Based Successive Cancellation List Decoding for Polar Codes

Predicting involuntary hospitalization in psychiatry: A machine learning investigation

List Ordered Statistics Decoders for Polar Codes

A Pareto Dominance Principle for Data-Driven Optimization

Generalization Error Bounds Via Rényi-, f-Divergences and Maximal Leakage

A probabilistic finite element method based on random meshes: A posteriori error estimators and Bayesian inverse problems

Probabilistic and Bayesian methods for uncertainty quantification of deterministic and stochastic differential equations