Essays about: "gradient optimization"
Showing result 1 - 5 of 110 essays containing the words gradient optimization.
-
1. Deep reinforcement learning for automated building climate control
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : The building sector is the single largest contributor to greenhouse gas emissions, making it a natural focal point for reducing energy consumption. More efficient use of energy is also becoming increasingly important for property managers as global energy prices are skyrocketing. READ MORE
-
2. Control perspective on distributed optimization
University essay from Uppsala universitet/Sannolikhetsteori och kombinatorikAbstract : In the intersection between machine learning, artificial intelligence and mathe- matical computation lies optimization. A powerful tool that enables us to solve a variety of large scale problems. The purpose of this work is to explore optimiza- tion in the distributed setting. READ MORE
-
3. On Linear Mode Connectivity up to Permutation of Hidden Neurons in Neural Network : When does Weight Averaging work?
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Neural networks trained using gradient-based optimization methods exhibit a surprising phenomenon known as mode connectivity, where two independently trained network weights are not isolated low loss minima in the parameter space. Instead, they can be connected by simple curves along which the loss remains low. READ MORE
-
4. Optimization of Radiotherapy Treatment Plans Based on Monte Carlo Dose Computations
University essay from Lunds universitet/Institutionen för reglerteknikAbstract : Treatment planning plays a vital role in providing good treatment to cancer patients. In order to reach an adequate treatment plan, the algorithm used for simulating the dose in the patient must model the reality well. READ MORE
-
5. A Predictive Analysis of Customer Churn
University essay from KTH/Matematisk statistikAbstract : Churn refers to the discontinuation of a contract; consequently, customer churn occurs when existing customers stop being customers. Predicting customer churn is a challenging task in customer retention, but with the advancements made in the field of artificial intelligence and machine learning, the feasibility to predict customer churn has increased. READ MORE