Learn the hill climbing algorithm in Python. This guide covers types, limitations, and real-world AI applications with code examples.
Python All exercises for the course Elements of AI - Building AI machine-learningdeep-learningnaive-bayeslinear-regressionnearest-neighbor-searchnaive-bayes-classifierneural-networkslogistic-regressionhill-climbingbayes-classifiernaive-bayes-algorithmlinear-regression-modelsoverfittingbayes-rulebuilding-aielements-of...
A python module that uses hill climbing to iteratively blend machine learning model predictions. Hill climbing attempts to maximize (or minimize) a target functionf(x). At each iteration, hill climbing will adjust a single element inxand determine whether the change improves the value off(x). ...
Additionally, in order to increase the performance of the CNN classifier, a nature-inspired optimization method known as Hill-Climbing Algorithm based CNN (CNN-HCA) model has been proposed to enhance the CNN model's parameters. The proposed CNN-HCA model performance is tested using a simulation ...
Secondly, we incorporate the Late Acceptance Hill Climbing (LAHC) method into the HS algorithm as a local search method to ensure proper exploitation of the search space. The overall framework has shown to dynamically balance between exploration and exploitation of the HS algorithm. Experimental ...