Results 121 to 130 of about 77,553 (343)

A Consistent Heteroskedasticity‐Robust LM‐Type Specification Test for Semiparametric Models

Journal of Applied Econometrics, EarlyView.
ABSTRACT This article develops a heteroskedasticity‐robust Lagrange Multiplier‐type specification test for semiparametric regression models. The test is able to detect a wide class of deviations from the null hypothesis. The test statistic is based on the estimates from the restricted semiparametric model, can be computed in a regression‐based way, and
Ivan Korolev
wiley   +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

Between Practicality and Politics: Factors of Sub‐National Aid Allocation in Bosnia and Herzegovina

Journal of International Development, EarlyView.
ABSTRACT Bosnia and Herzegovina represents a unique case of aid recipient for its complex history and administrative and political divisions. Yet, little is known about how foreign aid is allocated to local recipients. This qualitative study uncovers factors shaping sub‐national aid allocation in Bosnia and Herzegovina, highlighting donors' and ...
Lenka Dušková, Simona Šafaříková, Eva Šerá Komlossyová, Aida Avdić, Boris Avdić, Tereza Nováková   +5 more
wiley   +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

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

Mapping the Mistreatment Landscape: An Integrative Review and Reconciliation of Workplace Mistreatment Constructs

Journal of Organizational Behavior, EarlyView.
ABSTRACT As the literature on workplace mistreatment has grown, so too have the number of constructs proposed to represent distinctive forms of mistreatment. However, considerable disagreement exists surrounding whether these proposed constructs represent unique manifestations of workplace mistreatment or represent a single underlying phenomenon.
Lindsay Y. Dhanani, Sean M. Bogart
wiley   +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

Taming the Curse of Dimensionality: Discrete Integration by Hashing and Optimization [PDF]

, 2013
Stefano Ermon, Carla P. Gomes, Ashish Sabharwal, Bart Selman   +3 more
openalex   +1 more source

The (In)Effectiveness of Psychological Targeting: A Meta‐Analytic Review

Psychology &Marketing, EarlyView.
ABSTRACT The use of psychological targeting—employing machine learning to predict consumer personality from digital footprints and subsequently tailoring persuasive messages—has emerged as a controversial yet prominent practice in digital marketing.
Raphael Perla, Thomas Maran, Begüm Bagci, Sascha Kraus, Dominik K. Kanbach, Ricarda B. Bouncken   +5 more
wiley   +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