Sökning: "data types"
Visar resultat 1 - 5 av 2998 avhandlingar innehållade orden data types.
1. Data Stream Mining and Analysis : Clustering Evolving Data
Sammanfattning : Streaming data is becoming more prevalent in our society every day. With the increasing use of technologies such as the Internet of Things (IoT) and 5G networks, the number of possible data sources steadily increases. Therefore, there is a need to develop algorithms that can handle the massive amount of data we now generate. LÄS MER
2. Learning from Complex Medical Data Sources
Sammanfattning : Large, varied, and time-evolving data sources can be observed across many domains and present a unique challenge for classification problems, in which traditional machine learning approaches must be adapted to accommodate for the complex nature of such data. Across most domains, there is also a need for machine learning models that are both well-performing and interpretable, to help provide explanations of a model's decisions that stakeholders can trust and take appropriate actions with. LÄS MER
3. Dynamic Adaptations of Synchronization Granularity in Concurrent Data Structures
Sammanfattning : The multicore revolution means that programmers have many cores at their disposal in everything from phones to large server systems. Concurrent data structures are needed to make good use of all the cores. Designing a concurrent data structure that performs well across many different scenarios is a difficult task. LÄS MER
4. Throughput and energy efficiency of lock-free data structures: Execution Models and Analyses
Sammanfattning : Concurrent data structures are key program components to harness the available parallelism in multi-core processors. Lock-free algorithmic implementations of concurrent data structures offer high scalability and possess desirable properties such as immunity to deadlocks, convoying and priority inversion. LÄS MER
5. Types for Crash Preventionn
Sammanfattning : This thesis seeks to strengthen the capabilities of static polymorphic type-checking (as known from typed lambda calculus and functional programming) to allow a larger class of programming errors to be caught at compile time: the goal is to not only prevent illegal uses of data, but to also errors that lead to busy-loops, deadlocks, stack-overflows and heap-overflows. The thesis exploits that, for recursive programs, many correctness properties (including freedom from errors leading to busy-loops, etc. LÄS MER