Cover Image

QR Code

Ein Verfahren zur Prognose verkehrsabhangiger Schaltzeiten von Lichtsignalanlagen /

Bibliographic Details
Main Author:	Weisheit, Toni, (Author)
Format:	eBook
Language:	German
Published:	Kassel, [Germany] : kassel university press GmbH, 2017.
Series:	Schriftenreihe Verkehr ; Heft 27
Subjects:	Machine learning. Electronic books.
Online Access:	Click to View

Similar Items

Recursive spatial multiplexing for interference mitigation /
by: Shah, Syed Ibrahim Asghar,
Published: (2019)

Multi-label dimensionality reduction /
by: Liang Sun.
Published: (2014)

Klassifikation von Niederspannungsnetzen mit Support Vector Machines : Bewertung des Aufnahmevermogens fur Dezentrale Erzeugungsanlagen /
by: Breker, Sebastian,
Published: (2015)

Selbstlernende Algorithmen zur videobasierten Absichtserkennung von Fussgangern /
by: Goldhammer, Michael,
Published: (2017)

Methoden des Bestärkenden Lernens Für Die Produktionsablaufplanung.
by: Lang, Sebastian.
Published: (2023)

Pivoting : a coach's guide to igniting substantial change /
by: Clancy, Ann L.,, et al.
Published: (2017)

Proceedings of the International Conference on Applications of Machine Intelligence and Data Analytics (ICAMIDA 2022).
by: Tamane, Sharvari.
Published: (2023)

Regularized System Identification : Learning Dynamic Models from Data.
by: Pillonetto, Gianluigi.
Published: (2022)

Proceedings of the 1st International Conference on Neural Networks and Machine Learning 2022 (ICONNSMAL 2022).
by: Agustin, Ika Hesti.
Published: (2023)

Manifold Learning : Model Reduction in Engineering.
by: Ryckelynck, David.
Published: (2024)

The Novel in the Spanish Silver Age : a digital analysis of genre using machine learning /
by: Calvo Tello, Jose, 1987-
Published: (2021)

Man vs. Machine in Predicting Successful Entrepreneurs : Evidence from a Business Plan Competition in Nigeria
by: McKenzie, David, et al.
Published: (2017)

Prediction of Potential Future IT Personnel in Bangladesh using Machine Learning Classifier
by: Parvez, Md. Hasnat, et al.
Published: (2017)

Nowcasting Global Poverty
by: Mahler, Daniel Gerszon, et al.
Published: (2021)

AI for marketing and product innovation : powerful new tools for predicting trends, connecting with customers, and closing sales /
by: Pradeep, A. K.,, et al.
Published: (2019)

Poverty from Space : Using High-Resolution Satellite Imagery for Estimating Economic Well-Being
by: Engstrom, Ryan, et al.
Published: (2017)

Artificial Intelligence Price Emulator: A Study on Cryptocurrency
by: Ganapathy, Apoorva, et al.
Published: (2017)

Multidimensionality of Land Ownership among Men and Women in Sub-Saharan Africa
by: Hasanbasri, Ardina, et al.
Published: (2022)

FDI and Trade Outcomes at the Industry Level : A Data-Driven Approach
by: Maur, Jean-Christophe, et al.
Published: (2022)

How much does reducing inequality matter for global poverty?
by: Lakner, Christoph, et al.
Published: (2022)

Estimating Food Price Inflation from Partial Surveys
by: Andree, Bo Pieter Johannes
Published: (2021)

Estimation of the ex ante Distribution of Returns for a Portfolio of U.S. Treasury Securities via Deep Learning
by: Foresti, Andrea
Published: (2019)

Using Machine Learning to Assess Yield Impacts of Crop Rotation : Combining Satellite and Statistical Data for Ukraine
by: Deininger, Klaus, et al.
Published: (2020)

Behavior Revealed in Mobile Phone Usage Predicts Credit Repayment
by: Bjorkegren, Daniel, et al.
Published: (2019)

Predicting Entrepreneurial Success is Hard : Evidence from a Business Plan Competition in Nigeria
by: McKenzie, David, et al.
Published: (2019)

Quantifying War-Induced Crop Losses in Ukraine in Near Real Time to Strengthen Local and Global Food Security
by: Deininger, Klaus, et al.
Published: (2022)

Intersection of Artificial Intelligence, Machine Learning, and Internet of Things – An Economic Overview
by: Manavalan, Mani
Published: (2020)

The Nexus between the Machine Learning Techniques and Software Project Estimation
by: Miah, Md. Shelim, et al.
Published: (2021)

Advances in financial machine learning /
by: Lopez de Prado, Marcos Mailoc,
Published: (2018)

Artificial Intelligence : Investment Trends and Selected Industry Uses
by: Mou, Xiaomin
Published: (2019)

Harnessing the Power of Big Data for Trade and Competitiveness Policy
by: World Bank Group
Published: (2017)

Where Are All the Jobs ? : A Machine Learning Approach for High Resolution Urban Employment Prediction in Developing Countries
by: Barzin, Samira, et al.
Published: (2022)

Do Workfare Programs Live Up to Their Promises? Experimental Evidence from Côte d’Ivoire
by: Bertrand, Marianne, et al.
Published: (2021)

Machine Learning in International Trade Research : Evaluating the Impact of Trade Agreements
by: Breinlich, Holger, et al.
Published: (2021)

Tracking Advances in Access to Electricity Using Satellite-Based Data and Machine Learning to Complement Surveys
by: Dhorne, Milien, et al.
Published: (2021)

Child Stature, Maternal Education, and Early Childhood Development
by: Skoufias, Emmanuel, et al.
Published: (2020)

Survey Measurement Errors and the Assessment of the Relationship between Yields and Inputs in Smallholder Farming Systems : Evidence from Mali
by: Yacoubou Djima, Ismael, et al.
Published: (2021)

Financing Deep Tech
by: Nedayvoda, Anastasia, et al.
Published: (2021)

Preparation, Practice, and Beliefs : A Machine Learning Approach to Understanding Teacher Effectiveness
by: Filmer, Deon, et al.
Published: (2021)

Drivers of Utilization, Quality of Care, and RMNCH-N Services in Bangladesh : A Comparative Analysis of Demand and Supply-Side Determinants Using Machine Learning for Investment Decision-Making
by: Gopalan, Saji, et al.
Published: (2021)