Machine Learning for Predictive Modelling Machine learning is ubiquitous and used to make critical business and life decisions every day. Each machine learning problem is unique, so it can be challenging to manage raw data, identify key features that impact your model, train multiple models, and ...
This session explores the fundamentals of machine learning using MATLAB . Rory reviews typical workflows for both supervised (classification and regression) and unsupervised learning, through examples.
Predictive Modelling Made Easy with the New Machine Learning “Classification Learner” App Classification Learner is a new app that lets you train models to classify data using supervised machine learning. You can explore your data, select features, specify cross-validation sche...
Schafer BC, Wakabayashi K (2012) Machine learning predictive modelling high-level synthesis design space exploration. IET Comput Digital Techn 6(3):153–159B. Carrion Schafer, K. Wakabayashi, Machine learning predictive modelling high-level synthesis design space exploration, IET Computers & Digital ...
Anderson, R. P., D. Lew, and A. T. Peterson. 2003. Evaluating predictive models of species' distributions: criteria for selecting optimal models. Ecological Modelling 162:211-232. A. Townsend Peterson, Miguel A. Ortega-Huerta, Jeremy Bartley, Victor Sanchez-Cordero, Jorge Soberonk, Robert ...
Learning few-shot imitation as cultural transmission The modelling of human-like behaviours is one of the challenges in the field of Artificial Intelligence. Inspired by experimental studies of cultural evolution, the authors propose a reinforcement learning approach to generate agents capable of real-ti...
Book2021, Predictive Modelling for Energy Management and Power Systems Engineering Neelesh Sharma, Ravinesh Deo Explore book 14.2.4 Extreme learning machine ELM was first introduced to improve the efficiency and speed of a single-hidden-layer feedforward network (SLFNs) (Huang et al., 2011). As...
It covers both theoretical background of MACHINE LERANING & and predictive modeling as well as practical examples in R and R-Studio Fully understand the basics of Machine Learning, Cluster Analysis & Predictive Modelling Highly practical data science examples related to supervised machine learning, clus...
Therefore, this study presents a comparison of traditional statistical and novel machine learning models applied for regional scale landslide susceptibility modeling. These methods were evaluated by spatial k-fold cross-validation estimation of the predictive performance, assessment of variable importance for...
Machine-Learning-Based Prediction Modelling in Primary Care: State-of-the-Art Review. AI. 2023; 4(2):437-460. https://doi.org/10.3390/ai4020024 Chicago/Turabian Style El-Sherbini, Adham H., Hafeez Ul Hassan Virk, Zhen Wang, Benjamin S. Glicksberg, and Chayakrit Krittanawong. 2023. ...