Search results for "prosessit"

Multitasking in Driving as Optimal Adaptation Under Uncertainty

2021

Objective The objective was to better understand how people adapt multitasking behavior when circumstances in driving change and how safe versus unsafe behaviors emerge. Background Multitasking strategies in driving adapt to changes in the task environment, but the cognitive mechanisms of this adaptation are not well known. Missing is a unifying account to explain the joint contribution of task constraints, goals, cognitive capabilities, and beliefs about the driving environment. Method We model the driver’s decision to deploy visual attention as a stochastic sequential decision-making problem and propose hierarchical reinforcement learning as a computationally tractable solution to it. The…

On fractional smoothness and approximations of stochastic integrals

2009

Space of signatures as inverse limits of Carnot groups

2021

We formalize the notion of limit of an inverse system of metric spaces with 1-Lipschitz projections having unbounded fibers. The construction is applied to the sequence of free Carnot groups of fixed rank n and increasing step. In this case, the limit space is in correspondence with the space of signatures of rectifiable paths in ℝn, as introduced by Chen. Hambly-Lyons’s result on the uniqueness of signature implies that this space is a geodesic metric tree. As a particular consequence we deduce that every path in ℝn can be approximated by projections of some geodesics in some Carnot group of rank n, giving an evidence that the complexity of sub-Riemannian geodesics increases with the step.…

Chlorophyll Concentration Retrieval by Training Convolutional Neural Network for Stochastic Model of Leaf Optical Properties (SLOP) Inversion

2020

Miniaturized hyperspectral imaging techniques have developed rapidly in recent years and have become widely available for different applications. Combining calibrated hyperspectral imagery with inverse physically based reflectance models is an interesting approach for estimating chlorophyll concentrations that are good indicators of vegetation health. The objective of this study was to develop a novel approach for retrieving chlorophyll a and b values from remotely sensed data by inverting the stochastic model of leaf optical properties using a one-dimensional convolutional neural network. The inversion results and retrieved values are validated in two ways: A classical machine learning val…

Existence, uniqueness and comparison results for BSDEs with Lévy jumps in an extended monotonic generator setting

2018

We show existence of a unique solution and a comparison theorem for a one-dimensional backward stochastic differential equation with jumps that emerge from a L\'evy process. The considered generators obey a time-dependent extended monotonicity condition in the y-variable and have linear time-dependent growth. Within this setting, the results generalize those of Royer (2006), Yin and Mao (2008) and, in the $L^2$-case with linear growth, those of Kruse and Popier (2016). Moreover, we introduce an approximation technique: Given a BSDE driven by Brownian motion and Poisson random measure, we consider BSDEs where the Poisson random measure admits only jumps of size larger than $1/n$. We show con…

JYU-malli : keskitetty julkaisutiedonkeruu Jyväskylän yliopistossa

2020

Kuusi vuotta on kulunut siitä, kun Jyväskylän yliopisto siirtyi julkaisutietojen keskitettyyn tallentamiseen. Aiemmin hajautetusti tutkijoiden omasta toimesta tapahtunut CRIS-kirjaamistyö siirrettiin kirjaston (nyk. Avoimen tiedon keskus, OSC) vastuulle niin, että tutkijat itse eivät kirjauksia enää tee, vaan niistä huolehtii OSC. Syntyi "JYU-malli". Tässä artikkelissa kerrotaan, mikä JYU-malli on, miten se toimii ja mitä tuloksia sillä on saavutettu. nonPeerReviewed

The dialectics of spatial performances: The interplay of tensions in activity-based organizing

2019

Navigating organizational workspace is often plagued with tensions that emerge from the interplay of intended designs with organizational activities and lived experiences. These tensions are evident in research findings, such as inconsistencies in the ways that employees react to new workplace designs. They call on scholars to rethink organizational space, not as a concrete, static, or ready-made ‘thing’, but as a set of ongoing performances that enact particular practices, clashes among opposites, and organizational tensions. Based on research in a Nordic company, this study reveals how tensions and responses to them in an activity-based office generate creative alternatives that enhance …

Komponentit ja verkkopalvelut elektronisten liiketoimintaprosessien toteuttamisen välineinä

2002

The Appraisal Theory of Emotion in Human–Computer Interaction

2020

This chapter reviews the appraisal theory of emotion and how it has been employed in human–computer interaction (HCI) research. This theory views emotion as a process that evaluates the subjective significance of an event. We demonstrate the usefulness of the perspective for HCI, as emotion is defined in terms of the events of the task environment and the goals and knowledge of the subject. Importantly, the appraisal theory ties these factors together in a cognitive appraisal process order to explain the variety of subjective emotional experiences. This is important for two reasons. First, a strong theoretical commitment allows researchers and designers to derive testable hypotheses from th…

On resampling schemes for particle filters with weakly informative observations

2022

We consider particle filters with weakly informative observations (or `potentials') relative to the latent state dynamics. The particular focus of this work is on particle filters to approximate time-discretisations of continuous-time Feynman--Kac path integral models -- a scenario that naturally arises when addressing filtering and smoothing problems in continuous time -- but our findings are indicative about weakly informative settings beyond this context too. We study the performance of different resampling schemes, such as systematic resampling, SSP (Srinivasan sampling process) and stratified resampling, as the time-discretisation becomes finer and also identify their continuous-time l…