Searched for: subject:"LASSO"
(1 - 6 of 6)
document
Noom, Jacques (author)
Currently used imaging methods in Atomic Force Microscopy (AFM) including the use of a Lock-In Amplifier or a Phase-Locked Loop, are suboptimal. In this report, the image resolution in AFM is improved by detecting the tip-sample interaction using complete measurements of the input of the cantilever and its measured deflection. Two methods are...
master thesis 2019
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Kooijman, J.F. (author)
Stock market prediction has been a research topic for decades; recently, efforts to increase the accuracy by including data from social media like Google and Twitter received a lot of attention. Social media can be regarded as indicator for sentiments and sentiments are known to influence the stock market. Current models lack interpretation; it...
master thesis 2014
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Burki, T.R. (author)
Prediction of the stock market has been a research topic for decades. Recently, data from social media like Google and Twitter are included in prediction models. This data serves as an indicator of sentiments that are potentially useful for prediction. Interpretation of current prediction methods is cumbersome. Beforehand it is not known which...
master thesis 2014
document
Shakeri, S. (author)
In this work a new location fingerprinting-based localization algorithm is proposed for an underwater medium by utilizing ultra-wideband (UWB) signals. In many conventional underwater systems, localization is accomplished by utilizing acoustic waves. On the other hand, electromagnetic waves haven't been employed for underwater localization due...
master thesis 2012
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Meijer, R.J. (author)
In this thesis an approximation method is discussed that provides similar results to leave-one-out cross-validation but is less time-consuming. By means of this approximation method, estimating the optimal values of ridge and lasso parameters will take less time and carrying out (an approximated version of) double LOOCV will become practically...
master thesis 2010
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Sanders, M.A. (author)
Continuous variable selection using shrinkage procedures have recently been considered as favorable models in a wide range of scientific research; in particular biomedical research. In some cases, it is desirable to select as few predictors as possible, to increase the interpretability of the attained prediction rule. One frequently used...
master thesis 2009
Searched for: subject:"LASSO"
(1 - 6 of 6)