SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
A comparative assessment of machine learning methods for predicting housing prices using Bayesian optimization
16 references·0 citing·46 second hop
A comparative assessment of machine learning methods for predicting housing prices using Bayesian optimization (2023)A comparative assessment of machine learn…Housing price prediction incorporating spatio-temporal dependency into machine learning algorithms (2022)Housing price prediction inco…House Price Prediction using Random Forest Machine Learning Technique (2022)House Price Prediction using …House price forecasting with neural networks (2021)House price forecasting with …Intelligent forecasting with machine learning trading systems in chaotic intraday Bitcoin market (2020)Intelligent forecasting with …Improving property valuation accuracy: a comparison of hedonic pricing model and artificial neural network (2018)Improving property valuation …Building real estate valuation models with comparative approach through case-based reasoning (2018)Building real estate valuatio…Using machine learning algorithms for housing price prediction: The case of Fairfax County, Virginia housing data (2014)Using machine learning algori…Forecasting the US housing market (2014)Forecasting the US housing ma…Forecasting the U.S. real house price index (2014)Forecasting the U.S. real hou…Forecasting house prices in the 50 states using Dynamic Model Averaging and Dynamic Model Selection (2014)Forecasting house prices in t…Bayesian Optimization with Unknown Constraints (2014)Bayesian Optimization with Un…A Neural Network based Model for Real Estate Price Estimation Considering Environmental Quality of Property Location (2014)A Neural Network based Model …Real estate price forecasting based on SVM optimized by PSO (2013)Real estate price forecasting…The use of fuzzy logic in predicting house selling price (2009)The use of fuzzy logic in pre…A prediction comparison of housing sales prices by parametric versus semi-parametric regressions (2004)A prediction comparison of ho…Housing market segmentation and hedonic prediction accuracy (2003)Housing market segmentation a…A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning (2010)Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting (2012)Practical Bayesian Optimization of Machine Learning Algorithms (2012)Safe controller optimization for quadrotors with Gaussian processes (2016)Constrained Bayesian Optimization with Noisy Experiments (2018)Bayesian optimization with safety constraints: safe and automatic parameter tuning in robotics (2021)Forecasting Prices and Excess Returns in the Housing Market (1990)A Simple Error Correction Model of House Prices (1999)Financial time series forecasting using independent component analysis and support vector regression (2009)FORECASTING SPATIAL DYNAMICS OF THE HOUSING MARKET USING SUPPORT VECTOR MACHINE (2017)Machine learning-based forecasts of residential property prices in Hangzhou City, Zhejiang Province, China (2024)Predictions of residential property price indices for China via machine learning models (2025)Hedonic Prices and Implicit Markets: Product Differentiation in Pure Competition (1974)Comparing Information in Forecasts from Econometric Models (1990)Housing Market Segmentation (1998)An Application of Spatial Econometrics in Relation to Hedonic House Price Modeling (2010)Predicting House Prices with Spatial Dependence: A Comparison of Alternative Methods (2010)Spatial Heterogeneity in Hedonic House Price Models: The Case of Austria (2013)On the Choice of Funtional Form for Hedonic Price Functions (1988)Determinants of House Prices in Turkey : A Hedonic Regression Model (2008)Theoretical Foundations and Empirical Developments in Hedonic Modeling (2008)The Measurement of Environmental and Resource Values (2014)The impact of flooding on property prices: A repeat-sales approach (2019)A New Approach to Consumer Theory (1976)Fuzzy sets (1996)Deep Learning with XGBoost for Real Estate Appraisal (2019)Using Machine Learning Models and Actual Transaction Data for Predicting Real Estate Prices (2020)Real estate price estimation in French cities using geocoding and machine learning (2021)Predicting Housing Value: A Comparison of Multiple Regression Analysis and Artificial Neural Networks (2001)Neural Network Hedonic Pricing Models in Mass Real Estate Appraisal (2009)Mass appraisal of residential apartments: An application of Random forest for valuation and a CART-based approach for model diagnostics (2011)Mass Appraisal Models of Real Estate in the 21st Century: A Systematic Literature Review (2019)Macroeconomics and Reality (1980)Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root (1981)Testing the null hypothesis of stationarity against the alternative of a unit root (1992)Housing Price Prediction Using Machine Learning Algorithms: The Case of Melbourne City, Australia (2018)Pre-owned housing price index forecasts using Gaussian process regressions (2024)A new forecasting model with wrapper-based feature selection approach using multi-objective optimization technique for chaotic crude oil time series (2020)Corn Cash Price Forecasting (2020)A Study of Contemporaneous Residential Real Estate Price Causation Across Major Jiangsu Province Cities: Methodology Using Vector Error-Correction Models and Directed Acyclic Graphs (2025)Contemporaneous causal orderings among prices of retail properties: evidence from Chinese cities through vector error-correction modeling and directed acyclic graphs (2025)Housing Price Prediction via Improved Machine Learning Techniques (2020)Data preprocessing techniques: emergence and selection towards machine learning models - a practical review using HPA dataset (2023)Monitoring housing rental prices based on social media:An integrated approach of machine-learning algorithms and hedonic modeling to inform equitable housing policies (2019)A HOUSE PRICE VALUATION BASED ON THE RANDOM FOREST APPROACH: THE MASS APPRAISAL OF RESIDENTIAL PROPERTY IN SOUTH KOREA (2020)Predicting property prices with machine learning algorithms (2020)
this work references cited by second hop

References

  • 2003Housing market segmentation and hedonic prediction accuracy403 cited
  • 2014Using machine learning algorithms for housing price prediction: The case of Fairfax County, Virginia housing data400 cited
  • 2014Bayesian Optimization with Unknown Constraints376 cited
  • 2022House Price Prediction using Random Forest Machine Learning Technique188 cited
  • 2013Real estate price forecasting based on SVM optimized by PSO170 cited
  • 2021House price forecasting with neural networks162 cited
  • 2009The use of fuzzy logic in predicting house selling price131 cited
  • 2004A prediction comparison of housing sales prices by parametric versus semi-parametric regressions127 cited
  • 2018Building real estate valuation models with comparative approach through case-based reasoning122 cited
  • 2014Forecasting the U.S. real house price index120 cited
  • 2022Housing price prediction incorporating spatio-temporal dependency into machine learning algorithms120 cited
  • 2018Improving property valuation accuracy: a comparison of hedonic pricing model and artificial neural network109 cited
  • 2014Forecasting house prices in the 50 states using Dynamic Model Averaging and Dynamic Model Selection108 cited
  • 2014A Neural Network based Model for Real Estate Price Estimation Considering Environmental Quality of Property Location

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

107 cited
  • 2014Forecasting the US housing market102 cited
  • 2020Intelligent forecasting with machine learning trading systems in chaotic intraday Bitcoin market94 cited
  • Cited by

    No citing works inside the corpus for this window.