Sökning: "Generalization"
Visar resultat 1 - 5 av 331 avhandlingar innehållade ordet Generalization.
1. 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
2. An Information-Theoretic Approach to Generalization Theory
Sammanfattning : In this thesis, we investigate the in-distribution generalization of machine learning algorithms, focusing on establishing rigorous upper bounds on the generalization error. We depart from traditional complexity-based approaches by introducing and analyzing information-theoretic bounds that quantify the dependence between a learning algorithm and the training data. LÄS MER
3. 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
4. Generalization of clauses
Sammanfattning : .... LÄS MER
5. Evolution of Mimicry and Aposematism Explained: Salient Traits and Predator Psychology
Sammanfattning : Aposematic species have evolved conspicuous warning signals, such as bright colors and striking patterns, to deter predators. Some edible and harmless species take advantage of this deterrent effect by mimicking their appearance. Mimicry is a great example of how natural selection produces remarkable adaptations. LÄS MER
