Model agnostic interpretable machine learning for residential property valuation
T Gunes - Survey Review, 2024 - Taylor & Francis
Machine learning algorithms commonly outperform the traditional hedonic models in
property valuation; however, it is hard to capture the inner workings of these complex …
property valuation; however, it is hard to capture the inner workings of these complex …
Machine learning solutions for fast real estate derivatives pricing
P Cao, X He - Computational Economics, 2024 - Springer
The rapid development of machine learning provides new ideas to solve the challenges in
pricing financial derivatives, which remains a major obstacle to the further development of …
pricing financial derivatives, which remains a major obstacle to the further development of …
A stage-driven construction algorithm of undirected independence graph for Bayesian network structure learning
H Guo, H Li, X Jia - Soft Computing, 2024 - Springer
Decomposition structure learning algorithms are widely adopted to recover Bayesian
network structures. In the recursive process of separation phase, the network partition is …
network structures. In the recursive process of separation phase, the network partition is …
A Hybrid Machine Learning Model Architecture with Clustering Analysis and Stacking Ensemble for Real Estate Price Prediction
Population growth, rapid developments in technology, increase in living standards, changes
in the household structure and economic structure of societies, and the increase in …
in the household structure and economic structure of societies, and the increase in …
Konut Fiyatları Tahmininde Makine Öğrenmesi Sınıflandırma Algoritmalarının Kullanılması: Kütahya Kent Merkezi Örneği
HA Burhan - Dumlupınar Üniversitesi Sosyal Bilimler Dergisi, 2023 - dergipark.org.tr
Artan şehirleşme ve hızlı ekonomik gelişmeler konut piyasalarının büyümesine neden
olmakta; bu bağlamda hem kentlere doğru göçün bir sonucu, hem de konutların yatırım ve …
olmakta; bu bağlamda hem kentlere doğru göçün bir sonucu, hem de konutların yatırım ve …
Analysis of the Effects of Residential Characteristics on Residential Space Heating Costs in the United States of America with Machine Learning
V Sevinç - Available at SSRN 4702976, 2023 - papers.ssrn.com
Energy is one of the main concerns of humanity because energy resources are limited and
costly. To reduce the costs and use the energy for residential space heating effectively, it is …
costly. To reduce the costs and use the energy for residential space heating effectively, it is …
Predictive Analysis Using Web Scra** for the Real Estate Market in Gaziantep
AC Üzümcü, N Eligüzel - Bitlis Eren Üniversitesi Fen Bilimleri …, 2023 - dergipark.org.tr
For investors and people who want to own a property, real estate is a crucial industry. Real
estate includes land and any enduring construction, whether natural or artificial, such as …
estate includes land and any enduring construction, whether natural or artificial, such as …
[PDF][PDF] KONUT FİYATLARI TAHMİNİNDE MAKİNE ÖĞRENMESİ SINIFLANDIRMA ALGORİTMALARININ KULLANILMASI: KÜTAHYA KENT MERKEZİ ÖRNEĞİ.
HA BURHAN - Dumlupinar University Journal of Social Science …, 2023 - researchgate.net
Öz Artan şehirleşme ve hızlı ekonomik gelişmeler konut piyasalarının büyümesine neden
olmakta; bu bağlamda hem kentlere doğru göçün bir sonucu, hem de konutların yatırım ve …
olmakta; bu bağlamda hem kentlere doğru göçün bir sonucu, hem de konutların yatırım ve …
[PDF][PDF] Erinevate objektide asukoha mõju Tallinna korterite hinnale 2019. ja 2020. aastal
K Lokk - 2021 - dspace.emu.ee
As a result of the correlation analysis, it was found that the strongest correlative relationships
are factors between property and distance to city center (Viru Square in case of Tallinn) and …
are factors between property and distance to city center (Viru Square in case of Tallinn) and …