Sökning: "information rates"
Visar resultat 1 - 5 av 1072 avhandlingar innehållade orden information rates.
1. Information-Theoretic Generalization Bounds: Tightness and Expressiveness
Sammanfattning : Machine learning has achieved impressive feats in numerous domains, largely driven by the emergence of deep neural networks. Due to the high complexity of these models, classical bounds on the generalization error---that is, the difference between training and test performance---fail to explain this success. LÄS MER
2. Information infrastructure risk : perspectives, practices & technologies
Sammanfattning : This dissertation investigates the nature and management of information infrastructure risks in organizations. Specifically, it examines how practitioners identify and manage threats towards their organizational aims, and suggests ways of achieving sustainable risk management, in settings characterized by the integration of information technology (IT) and organizational processes. LÄS MER
3. Optimization and Fundamental Insights in Full-Duplex Cellular Networks
Sammanfattning : The next generations of cellular networks are expected to provide explosive data rate transmissions and very low latencies. To meet such demands, one of the promising wireless transmissions candidates is in-band full-duplex communications, which enable wireless devices to simultaneously transmit and receive on the same frequency channel. LÄS MER
4. Guaranteeing Generalization via Measures of Information
Sammanfattning : During the past decade, machine learning techniques have achieved impressive results in a number of domains. Many of the success stories have made use of deep neural networks, a class of functions that boasts high complexity. Classical results that mathematically guarantee that a learning algorithm generalizes, i.e. LÄS MER
5. Information, Voting Behavior and Electoral Accountability
Sammanfattning : Essay 1: In this paper, I investigate the causal effect of information on citizens’ ability to hold their elected politicians accountable for past behavior. Using survey data from the 2006 U.S. LÄS MER