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Advanced Lectures on Machine Learning
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An Introduction to Pattern Classification
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Bayesian Inference: An Introduction to Principles and Practice in Machine Learning
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Early stopping in L2 Boosting
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A survey on face detection in the wild: Past, present and future
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Variational Bayesian image restoration with group-sparse modeling of wavelet coefficients
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Sparse Bayesian learning algorithm for separable dictionaries
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Novel linear programming approach for building a piecewise nonlinear binary classifier with a priori accuracy
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Active-learning-driven error control for data-driven state of charge estimation across the lithium battery lifecycle
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The Energy Performance Evaluation of Roof Retrofit Under Uncertainties for the Shanghai’s Worker Village
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Optimizing predictive precision in imbalanced datasets for actionable revenue change prediction
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Decision-based model selection
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Surrogate modelling for sustainable building design – A review
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Statistical investigation of a dehumidification system performance using Gaussian process regression
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Machine learning-based price prediction for thermal insulation materials: A holistic approach integrating thermophysical, technical, and environmental attributes in the Greek construction market
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A data-fusion framework for lithium battery health condition Estimation Based on differential thermal voltammetry
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An improved CNN-LSTM model-based state-of-health estimation approach for lithium-ion batteries
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A comprehensive review of machine learning and IoT solutions for demand side energy management, conservation, and resilient operation
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An Improved Machine Learning Model for Pure Component Property Estimation
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Toward optimum fuzzy support vector machines using error distribution
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Boosting algorithms for network intrusion detection: A comparative evaluation of Real AdaBoost, Gentle AdaBoost and Modest AdaBoost
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Positional error compensation for aviation drilling robot based on Bayesian linear regression
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Future climate scenarios and rainfall–runoff modelling in the Upper Gallego catchment (Spain)
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A review of catchment-scale water quality and erosion models and a synthesis of future prospects
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Gaussian process machine learning and Kriging for groundwater salinity interpolation
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Certification of MPC-based zonal controller security properties using accuracy-aware machine learning proxies
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Variable-constraint classification and quantification of radiology reports under the ACR Index
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Ensemble based point and confidence interval forecasting in software engineering
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Density-based particle swarm optimization algorithm for data clustering
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Predicting and explaining performance and diversity of neural network architecture for semantic segmentation
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Forecasting call center arrivals using temporal memory networks and gradient boosting algorithm
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