Sökning: "existence for large data"
Visar resultat 1 - 5 av 147 avhandlingar innehållade orden existence for large data.
1. Finding, extracting and exploiting structure in text and hypertext
Sammanfattning : Data mining is a fast-developing field of study, using computations to either predict or describe large amounts of data. The increase in data produced each year goes hand in hand with this, requiring algorithms that are more and more efficient in order to find interesting information within a given time. LÄS MER
2. Automated Derivation of Random Generators for Algebraic Data Types
Sammanfattning : Many testing techniques such as generational fuzzing or random property-based testing require the existence of some sort of random generation process for the values used as test inputs. Implementing such generators is usually a task left to end-users, who do their best to come up with somewhat sensible implementations after several iterations of trial and error. LÄS MER
3. High-Performance Computing For Support Vector Machines
Sammanfattning : Machine learning algorithms are very successful in solving classification and regression problems, however the immense amount of data created by digitalization slows down the training and predicting processes, if solvable at all. High-Performance Computing(HPC) and particularly parallel computing are promising tools for improving the performance of machine learning algorithms in terms of time. LÄS MER
4. Distributed and federated learning of support vector machines and applications
Sammanfattning : Machine Learning (ML) has achieved remarkable success in solving classification, regression, and related problems over the past decade. In particular the exponential growth of digital data, makes using ML inevitable and necessary to exploit the wealth of information hidden inside the data. LÄS MER
5. Quasi-Arithmetic Filters for Topology Optimization
Sammanfattning : Topology optimization is a framework for finding the optimal layout of material within a given region of space. In material distribution topology optimization, a material indicator function determines the material state at each point within the design domain. LÄS MER