Essays about: "Kernel Matching Method"
Found 5 essays containing the words Kernel Matching Method.
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1. Towards a method for antenna impedance tailoring through shapeoptimization, with a bound on the associated cost-function
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Over the last years, there has been an interest in designing antennas that operateat higher frequencies. In most applications, these antennas work jointly withPower Amplifiers. However, most commercial Power Amplifiers have a nonstandardoptimal load-pull impedance in their optimal operating frequencies. READ MORE
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2. Implementation and verification of the Information Bottleneck interpretation of deep neural networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Although deep neural networks (DNNs) have made remarkable achievementsin various elds, there is still not a matching practical theory that is able toexplain DNNs' performances. Tishby (2015) proposed a new insight to analyzeDNN via the Information bottleneck (IB) method. READ MORE
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3. Investigating the effect of good schools on surrounding housing prices in London
University essay from Lunds universitet/Nationalekonomiska institutionenAbstract : In this paper we have looked at the effect good schools have on surrounding house prices, focusing on London. We consider both the effect of “% of students that meet expected standard in math, reading, and writing”, and the new “progression score” that the UK government has introduced. READ MORE
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4. Map change detection using GPS position data
University essay from Lunds universitet/Matematik LTHAbstract : Technology advancement in autonomous driving is accelerating. For the technology to be safe it is crucial for the vehicles to have an updated map, meaning all vehicles should have a correct and identical representation of the current road network. READ MORE
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5. Analytic Long Term Forecasting with Periodic Gaussian Processes
University essay from Blekinge Tekniska Högskola/Sektionen för datavetenskap och kommunikationAbstract : In many application domains such as weather forecasting, robotics and machine learning we need to model, predict and analyze the evolution of periodic systems. For instance, time series applications that follow periodic patterns appear in climatology where the CO2 emissions and temperature changes follow periodic or quasi-periodic patterns. READ MORE