Results 31 to 40 of about 234,693 (232)

Function Identification in Neuron Populations via Information Bottleneck

open access: yesEntropy, 2013
It is plausible to hypothesize that the spiking responses of certain neurons represent functions of the spiking signals of other neurons. A natural ensuing question concerns how to use experimental data to infer what kind of a function is being computed.
S. Kartik Buddha   +3 more
doaj   +1 more source

Towards socially adaptive robots : A novel method for real time recognition of human-robot interaction styles [PDF]

open access: yes, 2009
“This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders.
Dautenhahn, K., Francois, D., Polani, D.
core   +1 more source

Improved method for protein complex detection using bottleneck proteins [PDF]

open access: yesBMC Medical Informatics and Decision Making, 2013
Abstract Background Detecting protein complexes is one of essential and fundamental tasks in understanding various biological functions or processes. Therefore accurate identification of protein complexes is indispensable.
Ahn, Jaegyoon   +4 more
openaire   +2 more sources

Convergence analysis of energy conserving explicit local time-stepping methods for the wave equation [PDF]

open access: yes, 2017
Local adaptivity and mesh refinement are key to the efficient simulation of wave phenomena in heterogeneous media or complex geometry. Locally refined meshes, however, dictate a small time-step everywhere with a crippling effect on any explicit time ...
Grote, Marcus J.   +2 more
core   +4 more sources

Method for addressing bottleneck problems in district heating networks

open access: yesInternational Journal of Sustainable Energy Planning and Management, 2019
To work with lowering the system temperatures in district heating (DH) grids is an important factor for system efficiency. Lower system temperatures are related to for example heat losses and production unit efficiency.
Lisa Brange   +2 more
doaj   +1 more source

Projected Density Matrix Embedding Theory with Applications to the Two-Dimensional Hubbard Model [PDF]

open access: yes, 2019
Density matrix embedding theory (DMET) is a quantum embedding theory for strongly correlated systems. From a computational perspective, one bottleneck in DMET is the optimization of the correlation potential to achieve self-consistency, especially for ...
Chan, Garnet Kin-Lic   +5 more
core   +4 more sources

A bicriterion Steiner tree problem on graph [PDF]

open access: yesYugoslav Journal of Operations Research, 2003
This paper presents a formulation of bicriterion Steiner tree problem which is stated as a task of finding a Steiner tree with maximal capacity and minimal length. It is considered as a lexicographic multicriteria problem.
Vujošević Mirko B., Stanojević Milan
doaj   +1 more source

Throughput bottleneck detection in manufacturing: a systematic review of the literature on methods and operationalization modes

open access: yesProduction and Manufacturing Research: An Open Access Journal, 2023
Throughput is an important parameter to evaluate production system performance. It is typically constrained by one or more resources referred to as ‘throughput bottlenecks’.
Anders Skoogh   +4 more
doaj   +1 more source

Decoding of Non-Binary LDPC Codes Using the Information Bottleneck Method

open access: yes, 2019
Recently, a novel lookup table based decoding method for binary low-density parity-check codes has attracted considerable attention. In this approach, mutual-information maximizing lookup tables replace the conventional operations of the variable nodes ...
Bauch, Gerhard   +3 more
core   +1 more source

Unsupervised Feature Learning Based on Deep Models for Environmental Audio Tagging [PDF]

open access: yes, 2016
Environmental audio tagging aims to predict only the presence or absence of certain acoustic events in the interested acoustic scene. In this paper we make contributions to audio tagging in two parts, respectively, acoustic modeling and feature learning.
Foster, Peter   +6 more
core   +3 more sources

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