Essays about: "Multiple Kernel Learning"

Showing result 6 - 10 of 13 essays containing the words Multiple Kernel Learning.

1. 6. Machine Unlearning and hyperparameters optimization in Gaussian Process regression

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Matthis Manthe; [2021]
   Keywords : GDPR; Machine Unlearning; Data removal; Gaussian Process Regression; Product-of-Experts.; RGPD; Désapprentissage; Suppression de données; Gaussian Process regression; Product-of-Experts.; DSF; avlärningen; dataraderingen; Gaussian Process regression; Produkt-av-experter.;

   Abstract : The establishment of the General Data Protection Regulation (GDPR) in Europe in 2018, including the "Right to be Forgotten" poses important questions about the necessity of efficient data deletion techniques for trained Machine Learning models to completely enforce this right, since retraining from scratch such models whenever a data point must be deleted seems impractical. We tackle such a problem for Gaussian Process Regression and define in this paper an efficient exact unlearning technique for Gaussian Process Regression which completely include the optimization of the hyperparameters of the kernel function. READ MORE

3. 7. Accelerating longitudinal spinfluctuation theory for iron at high temperature using a machine learning method

   University essay from Linköpings universitet/Teoretisk Fysik

   Author : Marian Arale Brännvall; [2020]
   Keywords : Machine learning; longitudinal spin fluctuations; kernel ridge regression;

   Abstract : In the development of materials, the understanding of their properties is crucial. For magnetic materials, magnetism is an apparent property that needs to be accounted for. There are multiple factors explaining the phenomenon of magnetism, one being the effect of vibrations of the atoms on longitudinal spin fluctuations. READ MORE

4. 8. Application of machine learning in 5G to extract prior knowledge of the underlying structure in the interference channel matrices

   University essay from KTH/Matematisk statistik

   Author : Danilo Peng; [2019]
   Keywords : Machine learning; 5G; interference channel; blind source estimation; MIMO; OFDM; bandwidth prediction; support vector machines; artificial neural network.; Maskininlärning; 5G; interferencekanal; stödvektormaskin; neurala nätverk; brandbedd estimering;

   Abstract : The data traffic has been growing drastic over the past few years due to digitization and new technologies that are introduced to the market, such as autonomous cars. In order to meet this demand, the MIMO-OFDM system is used in the fifth generation wireless network, 5G. READ MORE

5. 9. Machine Learning for Market Prediction : Soft Margin Classifiers for Predicting the Sign of Return on Financial Assets

   University essay from Linköpings universitet/Produktionsekonomi

   Author : George Abo Al Ahad; Abbas Salami; [2018]
   Keywords : Machine Learning; Finance; Financial Time Series; Support Vector Machines; Relevance Vector Machines; Multiple Kernel Learning; Simulated Annealing; SVM; RVM; MKL; SA; FSVM; TSVM; FTSVM;

   Abstract : Forecasting procedures have found applications in a wide variety of areas within finance and have further shown to be one of the most challenging areas of finance. Having an immense variety of economic data, stakeholders aim to understand the current and future state of the market. READ MORE

6. 10. Change Point Detection and Kernel Ridge Regression for Trend Analysis on Financial Data

   University essay from KTH/Skolan för teknikvetenskap (SCI)

   Author : David Petersson; Emil Backman; [2018]
   Keywords : ;

   Abstract : The investing market can be a cold ruthless place for the layman. In order to get the chance of making money in this business one must place countless hours on research, with many different parameters to handle in order to reach success. To reduce the risk, one must look to many different companies operating in multiple fields and industries. READ MORE