Essays about: "paper machine"

Showing result 16 - 20 of 534 essays containing the words paper machine.

1. 16. Predictive Modeling and Statistical Inference for CTA returns : A Hidden Markov Approach with Sparse Logistic Regression

   University essay from Umeå universitet/Institutionen för matematik och matematisk statistik

   Author : Oskar Fransson; [2023]
   Keywords : Probability theory; Statistical inference; finance; CTA; managed futures; machine learning; statistical learning; stochastic process; sparse logistic regression; Markov Chain Monte Carlo; Hidden Markov model;

   Abstract : This thesis focuses on predicting trends in Commodity Trading Advisors (CTAs), also known as trend-following hedge funds. The paper applies a Hidden Markov Model (HMM) for classifying trends. Additionally, by incorporating additional features, a regularized logistic regression model is used to enhance prediction capability. READ MORE

3. 17. Can Machine Learning improve inflation forecasting?

   University essay from Lunds universitet/Nationalekonomiska institutionen

   Author : Emil Hansson; [2023]
   Keywords : Inflation Forecast; Machine Learning; Rolling Window; Time Series; Business and Economics;

   Abstract : This paper aims to compare and evaluate the performance of inflation forecasting performance for benchmark time series models and machine learning models. The process is performed for both a developed economy, the US, and an emerging economy, Mexico. READ MORE

4. 18. Towards gradient faithfulness and beyond

   University essay from Högskolan i Halmstad/Akademin för informationsteknologi

   Author : Vincenzo Buono; Isak Åkesson; [2023]
   Keywords : XAI; Visual Explanations; CAM; Grad-CAM; Expected Grad-CAM; Hyper Expected Grad; Class Activation Maps; Explainable AI; Faithfulness; Neural Network interpretability; Hyper Resolution CAM; Super Resolution CAM; Natural Encoding;

   Abstract : The riveting interplay of industrialization, informalization, and exponential technological growth of recent years has shifted the attention from classical machine learning techniques to more sophisticated deep learning approaches; yet its intrinsic black-box nature has been impeding its widespread adoption in transparency-critical operations. In this rapidly evolving landscape, where the symbiotic relationship between research and practical applications has never been more interwoven, the contribution of this paper is twofold: advancing gradient faithfulness of CAM methods and exploring new frontiers beyond it. READ MORE

5. 19. Artificial Neural Networks for Financial Time Series Prediction

   University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

   Author : Dana Malas; [2023]
   Keywords : artificial neural networks; time series analysis; deep learning; finance; long short-term memory; simple moving average;

   Abstract : Financial market forecasting is a challenging and complex task due to the sensitivity of the market to various factors such as political, economic, and social factors. However, recent advances in machine learning and computation technology have led to an increased interest in using deep learning for forecasting financial data. READ MORE

6. 20. Federated Machine Learning for Resource Allocation in Multi-domain Fog Ecosystems

   University essay from Uppsala universitet/Institutionen för informationsteknologi

   Author : Weilin Zhang; [2023]
   Keywords : Workload Allocation; Federated Learning; Deep Q-network; Fog networks; Federated Average Aggregation;

   Abstract : The proliferation of the Internet of Things (IoT) has increasingly demanded intimacy between cloud services and end-users. This has incentivised extending cloud resources to the edge in what is deemed fog computing. The latter is manifesting as an ecosystem of connected clouds, geo-dispersed and of diverse capacities. READ MORE