Results 51 to 60 of about 8,855 (158)

Deep Forest Reinforcement Learning for Preventive Strategy Considering Automatic Generation Control in Large-Scale Interconnected Power Systems

Applied Sciences, 2018
To reduce occurrences of emergency situations in large-scale interconnected power systems with large continuous disturbances, a preventive strategy for the automatic generation control (AGC) of power systems is proposed.
Linfei Yin, Lulin Zhao, Tao Yu, Xiaoshun Zhang   +3 more
doaj   +1 more source

Escaping The Curse of Dimensionality in Bayesian Model-Based Clustering. [PDF]

J Mach Learn Res, 2023
Chandra NK, Canale A, Dunson DB.
europepmc   +1 more source

Nearest neighbour imputation under single index models

Statistical Theory and Related Fields, 2019
A popular imputation method used to compensate for item nonresponse in sample surveys is the nearest neighbour imputation (NNI) method utilising a covariate to defined neighbours.
Jun Shao, Lei Wang
doaj   +1 more source

Ontology Driven Feature Engineering for Opinion Mining

IEEE Access, 2019
In the process of knowledge discovery, the reliability of results depends upon the effectiveness of attributes selected for decision. The curse of dimensionality refers to the phenomenon in which the excessive number of dimensions affect the analysis. In
Shafaq Siddiqui, M. Abdul Rehman, Sher Muhammad Doudpota, Ahmad Waqas   +3 more
doaj   +1 more source

A training strategy for hybrid models to break the curse of dimensionality. [PDF]

PLoS One, 2022
E Samadi M, Kiefer S, Fritsch SJ, Bickenbach J, Schuppert A.   +4 more
europepmc   +1 more source

Scalable Deep Multi-Agent Reinforcement Learning via Observation Embedding and Parameter Noise

IEEE Access, 2019
In this paper, we explore a scalable deep reinforcement learning (DRL) method for environments with multi-agents. Due to the explosive increase of the input dimensionality with the number of agents, most existing DRL methods are only able to cope with ...
Jian Zhang, Yaozong Pan, Haitao Yang, Yuqiang Fang   +3 more
doaj   +1 more source

Supervised Clustering of Persian Handwritten Images [PDF]

Journal of Sciences, Islamic Republic of Iran
Clustering, a fundamental multivariate statistical method, serves as a valuable tool for extracting meaningful insights from complex datasets. Analyzing high-dimensional data, however, presents challenges, notably the curse of dimensionality.
Sajedeh Moradnia, Mousa Golalizadeh
doaj   +1 more source

A novel deep learning technique to detect electricity theft in smart grids using AlexNet

IET Renewable Power Generation
Electricity theft (ET), which endangers public safety, interferes with the regular operation of grid infrastructure, and increases revenue losses, is a significant issue for power companies.
Nitasha Khan, Zeeshan Shahid, Muhammad Mansoor Alam, Aznida Abu Bakar Sajak, Mobeen Nazar, Mohd Suud Mazliham   +5 more
doaj   +1 more source

Breaking the curse of dimensionality in regression

, 2017
Models with many signals, high-dimensional models, often impose structures on the signal strengths. The common assumption is that only a few signals are strong and most of the signals are zero or close (collectively) to zero. However, such a requirement might not be valid in many real-life applications.
Zhu, Yinchu, Bradic, Jelena
openaire   +3 more sources

Theory I: Deep networks and the curse of dimensionality [PDF]

Bulletin of the Polish Academy of Sciences: Technical Sciences, 2018
T. Poggio, Q. Liao
doaj   +1 more source