Results 281 to 290 of about 43,039 (317)

Parameter Identifiability in Statistical Machine Learning: A Review

Neural Computation, 2017
This review examines the relevance of parameter identifiability for statistical models used in machine learning. In addition to defining main concepts, we address several issues of identifiability closely related to machine learning, showing the advantages and disadvantages of state-of-the-art research and demonstrating recent progress.
Zhi-Yong Ran, Bao-Gang Hu
openaire   +3 more sources

Parameter passing for the Java virtual machine

Proceedings 23rd Australasian Computer Science Conference. ACSC 2000 (Cat. No.PR00518), 2002
The portability and runtime safety of programs which are executed on the Java Virtual Machine (JVM) makes the JVM an attractive target for compilers of languages other than Java. Unfortunately, the JVM was designed with language Java in mind, and lacks many of the primitives required for a straightforward implementation of other languages.
openaire   +1 more source

Measurement of D-C machine parameters

Electrical Engineering, 1951
An, equivalent circuit is suggested to represent the d-c machine when operating under near normal current conditions. This equivalent circuit contains resistances, inductances, and speed-voltage constants. Certain d-c tests are suggested for obtaining the resistances and speed-voltage constants.
openaire   +1 more source

MEASUREMENT OF PARAMETERS OF DC MACHINES

Electric Machines & Power Systems, 1982
ABSTRACT The methods for measuring the leakage inductances and the nonlinear magnetic parameters of the dc machine are presented. The methods to obtain the mechanical load characteristics of the whole mechanical system and to separate the friction and iron losses in the dc machine or various torques in the whole mechanical system follow from an ...
R.S. RAMSHAW, G. XIE
openaire   +1 more source

Machining Parameter Optimization for Laser Machining

2022
Muhammad Mirza Muhamad Adlan, Alias Mohd Saman, Mohd Afril Hafiz Sariman   +2 more
openaire   +1 more source

A Novel Parameter Estimation Method for Boltzmann Machines

Neural Computation, 2015
We propose a novel estimator for a specific class of probabilistic models on discrete spaces such as the Boltzmann machine. The proposed estimator is derived from minimization of a convex risk function and can be constructed without calculating the normalization constant, whose computational cost is exponential order.
openaire   +2 more sources

Identification of the parameters of a.c. machines

Proceedings of First International Caracas Conference on Devices, Circuits and Systems, 2002
Modern developments in electrical drives require methods for exact determination of the parameters of electrical machines. Users are mostly interested by methods for parameter identification with a little additional expenditure in device components, but a higher expenditure in software components is usually accepted.
openaire   +1 more source

Monitoring Various Machine Parameters

1992
Abstract In this chapter, conventional techniques will first be described, which can be used for the measurement of various parameters of electrical machines. This is followed by presenting some other, alternative, techniques.
openaire   +1 more source

Accuracy analysis in mobile robot machining of large-scale workpiece

Robotics and Computer-Integrated Manufacturing, 2021
Xingwei Zhao, Shibo Han, Han Ding
exaly  

Effect of Different Machining Parameters on the Quality of Machining

2019
Ajay M. Sidpara, Ganesh Malayath
openaire   +1 more source