[BOOK][B] An introduction to Kolmogorov complexity and its applications
Ming Li Paul Vitányi Fourth Edition Page 1 An Introduction to Kolmogorov Complexity and Its
Applications Ming Li Paul Vitányi Fourth Edition Texts in Computer Science Page 2 Texts in …
Applications Ming Li Paul Vitányi Fourth Edition Texts in Computer Science Page 2 Texts in …
[PDF][PDF] Clustering with Bregman divergences.
A wide variety of distortion functions, such as squared Euclidean distance, Mahalanobis
distance, Itakura-Saito distance and relative entropy, have been used for clustering. In this …
distance, Itakura-Saito distance and relative entropy, have been used for clustering. In this …
[HTML][HTML] Assessing the commensurability of theories of consciousness: On the usefulness of common denominators in differentiating, integrating and testing …
How deep is the current diversity in the panoply of theories to define consciousness, and to
what extent do these theories share common denominators? Here we first examine to what …
what extent do these theories share common denominators? Here we first examine to what …
An entropy-based network anomaly detection method
Data mining is an interdisciplinary subfield of computer science involving methods at the
intersection of artificial intelligence, machine learning and statistics. One of the data mining …
intersection of artificial intelligence, machine learning and statistics. One of the data mining …
Anisotropic star models in the context of vanishing complexity
We use the definition of complexity for static and self–gravitating objects to build up three
physical general relativistic anisotropic models fulfilling the vanishing complexity condition …
physical general relativistic anisotropic models fulfilling the vanishing complexity condition …
Causal inference using the algorithmic Markov condition
Inferring the causal structure that links n observables is usually based upon detecting
statistical dependences and choosing simple graphs that make the joint measure …
statistical dependences and choosing simple graphs that make the joint measure …
A primer for model selection: The decisive role of model complexity
Selecting a “best” model among several competing candidate models poses an often
encountered problem in water resources modeling (and other disciplines which employ …
encountered problem in water resources modeling (and other disciplines which employ …
Uncharged and charged anisotropic like-Durgapal stellar models with vanishing complexity
In this work we use the vanishing complexity factor as a supplementary condition to
construct uncharged and charged like-Durgapal models. We provide the g tt component of …
construct uncharged and charged like-Durgapal models. We provide the g tt component of …
[BOOK][B] Abstraction in Artificial Intelligence
One of the field in which models of abstraction have been proposed is Artificial Intelligence
(AI). This chapter has two parts: one presents an overview of the formal models, either …
(AI). This chapter has two parts: one presents an overview of the formal models, either …
Sources of richness and ineffability for phenomenally conscious states
Conscious states—state that there is something it is like to be in—seem both rich or full of
detail and ineffable or hard to fully describe or recall. The problem of ineffability, in particular …
detail and ineffable or hard to fully describe or recall. The problem of ineffability, in particular …