Semantyczne sieci tensorowe do analizy wielkich zbiorów danych

Projekt finansowany przez Narodowe Centrum Nauki (OPUS 8), numer: 2014/15/B/ST6/05204.

Numer projektu: 

2014/15/B/ST6/05204

Termin: 

od 30/09/2015 do 29/03/2019

Typ projektu: 

Projekt własny badawczy

Kierownik projektu: 

dr hab. inż. Piotr Gawron

Wykonawcy projektu: 

dr hab. Krzysztof Domino
dr hab. inż. Łukasz Pawela
prof. dr hab. Zbigniew Puchała
dr hab. Jarosław Miszczak
dr inż. Michał Romaszewski

Publikacje: 

The use of the multi-cumulant tensor analysis for the algorithmic optimisation of investment portfolios
Quantum hidden Markov models based on transition operation matrices
Properties of quantum stochastic walks from the asymptotic scaling exponent
Efficient computation of higher order cumulant tensors
An algorithm for arbitrary–order cumulant tensor calculation in a sliding window of data streams
Superdiffusive quantum stochastic walk definable on arbitrary directed graph
Unified approach to geometric and positive-map-based non-linear entanglement identifiers
Introducing higher order correlations to marginals' subset of multivariate data by means of Archimedean copulas
Approximation of quantum control correction scheme using deep neural networks
Impact of global and local interaction on quantum spatial search on chimera graph
QuantumInformation.jl—a Julia package for numerical computation in quantum information theory
Multivariate cumulants in outlier detection for financial data analysis
An application of higher order multivariate cumulants in modelling of myoelectrical activity of porcine uterus during early pregnancy

Historia zmian

Data aktualizacji: 05/11/2018 - 15:54; autor zmian: Piotr Gawron (gawron@iitis.pl)

Projekt finansowany przez Narodowe Centrum Nauki (OPUS 8), numer: 2014/15/B/ST6/05204.