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Visar resultat 1 - 5 av 350 avhandlingar som matchar ovanstående sökkriterier.
1. On the Metric-based Approach to Supervised Concept Learning
Sammanfattning : A classifier is a piece of software that is able to categorize objects for which the class is unknown. The task of automatically generating classifiers by generalizing from examples is an important problem in many practical applications. This problem is often referred to as supervised concept learning, and has been shown to be relevant in e.g. LÄS MER
2. The Double Obstacle Problem on Metric Spaces
Sammanfattning : During the last decade, potential theory and p-harmonic functions have been developed in the setting of doubling metric measure spaces supporting a p-Poincar´e inequality. This theory unifies, and has applications in several areas of analysis, such as weighted Sobolev spaces, calculus on Riemannian manifolds and Carnot groups, subelliptic differential operators and potential theory on graphs. LÄS MER
3. Stable iterated function systems
Sammanfattning : The purpose of this thesis is to generalize the growing theory of iterated function systems (IFSs). Earlier, hyperbolic IFSs with finitely many functions have been studied extensively. Also, hyperbolic IFSs with infinitely many functions have been studied. In this thesis, more general IFSs are studied. LÄS MER
4. Geometric Models of Similarity
Sammanfattning : This dissertation examines and discusses some phenomena related to the geometric representation of similarity. It takes its inspiration from the existing body of empirical research within the fields of perceptual and cognitive psychology, but also connects to certain areas of machine learning. LÄS MER
5. Proactive Software Complexity Assessment
Sammanfattning : Large software development companies primarily deliver value to their customers by continuously enhancing the functionality of their products. Continuously developing software for customers insures the enduring success of a company. LÄS MER