Now showing items 1-10 of 56
Comparison of Two Ventilation Control Strategies in the First Passive House Standard Norwegian School
(Taylor & Francis, 2016-03-29)
The perceived indoor climate resulting from two ventilation control strategies was evaluated in a classroom of the first school built according to the Norwegian passive house standard. Both strategies consisted of varying ...
The Association Between Commonly Investigated User Factors and Various Types of eHealth Use for Self-Care of Type 2 Diabetes:Case of First-Generation Immigrants From Pakistan inthe Oslo Area, Norway
(JMIR Publications, 2017)
Background: Sociodemographic and health-related factors are often investigated for their association with the active use of electronic health (eHealth). The importance of such factors has been found to vary, depending on ...
Parameter estimation in abruptly changing dynamic environments using stochastic learning weak estimator
(Springer Verlag, 2018-05-25)
Many real-life dynamical systems experience abrupt changes followed by almost stationary periods. In this paper, we consider streams of data exhibiting such abrupt behavior and investigate the problem of tracking their ...
On Using Novel "Anti-Bayesian" Techniques for the Classification of Dynamical Data Streams
The classification of dynamical data streams is among the most complex problems encountered in classification. This is, firstly, because the distribution of the data streams is non-stationary, and it changes without any ...
Statistical models for short- and long-term forecasts of snow depth
(Taylor & Francis, 2017)
Forecasting of future snow depths is useful for many applications like road safety, winter sport activities, avalanche risk assessment and hydrology. Motivated by the lack of statistical forecasts models for snow depth, ...
Incremental Quantiles Estimators for Tracking Multiple Quantiles
In this paper, we investigate the problem of estimating multiple quantiles when samples are received online (data stream). We assume that we are dealing with a dynamical system, i.e. the distribution of the samples from ...
A neuro-inspired general framework for the evolution of stochastic dynamical systems: Cellular automata, random Boolean networks and echo state networks towards criticality
Although deep learning has recently increased in popularity, it suffers from various problems including high computational complexity, energy greedy computation, and lack of scalability, to mention a few. In this paper, ...
Hvorfor trenger vi statistikk?
(Norsk sykepleieforbund, 2013)
Déjà vu - Predicting the number of players in online games through normalization of historical data
(IEEE Press, 2011)
A key factor to delivering a good online gaming experience is to have sufficient server resources relative to the number of players online. In this work, we present a simple profiling technique which allows effective ...
Approximate forward–backward algorithm for a switching linear Gaussian model
A hidden Markov model with two hidden layers is considered. The bottom layer is a Markov chain and given this the variables in the second hidden layer are assumed conditionally independent and Gaussian distributed. The ...