Essays about: "kernel regression"
Showing result 1 - 5 of 51 essays containing the words kernel regression.
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1. Kernel Methods for Regression
University essay from Linnéuniversitetet/Institutionen för matematik (MA)Abstract : Kernel methods are a well-studied approach for addressing regression problems by implicitly mapping input variables into possibly infinite-dimensional feature spaces, particularly in cases where standard linear regression fails to capture non-linear relationships in data. Therefore, the choice between standard linear regression and kernel regression can be seen as a tradeoff between constraints on the number of features and the number of training samples. READ MORE
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2. Machine learning for detecting financial crime from transactional behaviour
University essay from Uppsala universitet/Signaler och systemAbstract : Banks and other financial institutions are to a certain extent obligated to ensure that their services are not utilized for any type of financial crime. This thesis investigates the possibility of analyzing bank customers' transactional behaviour with machine learning to detect if they are involved in financial crime. READ MORE
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3. When is Electric Freight Cost Competitive? : Computational modeling and simulation of total cost of ownership for electric truck fleets
University essay from Linköpings universitet/Institutionen för ekonomisk och industriell utvecklingAbstract : Battery electric trucks (BETs) offer environmental benefits in terms of reduced carbon emissions and enhanced energy efficiency but have been challenged with economic viability compared to conventional internal combustion engine trucks (ICETs) caused by substantial acquisition costs, limited charging infrastructure, and concerns regarding range and payload capacity. Previous studies focus on TCO at the vehicle or policy level but overlook the system and firm-level impacts. READ MORE
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4. Selective Kernel Network based Crowding Counting and Crowd Density Estimation
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Managing crowd density has become an immense challenge for public authorities due to population growth and evolving human dynamics. Crowd counting estimates the number of individuals in a given area or scene, making it a practical technique applicable in real-world scenarios such as surveillance and traffic control. READ MORE
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5. HRTF-Based Sound Field Interpolation in the Presence of a Human Head
University essay from Lunds universitet/Matematisk statistikAbstract : There are different ways of evaluating the sound pressure in a sound field. Doing so is an essential part of several applications, such as active sound control and voice analysis. READ MORE