Toward the third generation artificial intelligence
There have been two competing paradigms in artificial intelligence (AI) development ever
since its birth in 1956, ie, symbolism and connectionism (or sub-symbolism). While …
since its birth in 1956, ie, symbolism and connectionism (or sub-symbolism). While …
Can the maximum entropy principle be explained as a consistency requirement?
J Uffink - Studies in History and Philosophy of Science Part B …, 1995 - Elsevier
The principle of maximum entropy is a general method to assign values to probability
distributions on the basis of partial information. This principle, introduced by Jaynes in 1957 …
distributions on the basis of partial information. This principle, introduced by Jaynes in 1957 …
[图书][B] Statistical rethinking: A Bayesian course with examples in R and Stan
R McElreath - 2018 - taylorfrancis.com
Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds readers'
knowledge of and confidence in statistical modeling. Reflecting the need for even minor …
knowledge of and confidence in statistical modeling. Reflecting the need for even minor …
Fuzzy sets and information granularity
LA Zadeh - Fuzzy sets, fuzzy logic, and fuzzy systems: selected …, 1996 - World Scientific
FUZZY SETS AND INFORMATION GRANULARITY LA Zadeh Computer Science Division
Department of Electrical Engineering and Computer Sc Page 1 FUZZY SETS AND INFORMATION …
Department of Electrical Engineering and Computer Sc Page 1 FUZZY SETS AND INFORMATION …
[图书][B] Scientific reasoning: the Bayesian approach
C Howson, P Urbach - 2006 - books.google.com
In this clearly reasoned defense of Bayes's Theorem--that probability can be used to
reasonably justify scientific theories--Colin Howson and Peter Urbach examine the way in …
reasonably justify scientific theories--Colin Howson and Peter Urbach examine the way in …
Inconsistency of Bayesian inference for misspecified linear models, and a proposal for repairing it
P Grünwald, T Van Ommen - 2017 - projecteuclid.org
Supplementary material of “Inconsistency of Bayesian Inference for Misspecified Linear
Models, and a Proposal for Repairing It”. In this paper, we described a problem for Bayesian …
Models, and a Proposal for Repairing It”. In this paper, we described a problem for Bayesian …
[图书][B] Uncertainty-based information: elements of generalized information theory
G Klir, M Wierman - 1999 - books.google.com
Information is precious. It reduces our uncertainty in making decisions. Knowledge about the
outcome of an uncertain event gives the possessor an advantage. It changes the course of …
outcome of an uncertain event gives the possessor an advantage. It changes the course of …
[图书][B] Prediction and entropy
H Akaike - 1998 - Springer
The emergence of the magic number 2 in recent statistical literature is explained by adopting
the predictive point of view of statistics with entropy as the basic criterion of the goodness of …
the predictive point of view of statistics with entropy as the basic criterion of the goodness of …
[图书][B] The uncertain reasoner's companion: a mathematical perspective
JB Paris - 1994 - books.google.com
Reasoning under uncertainty, that is, making judgments with only partial knowledge, is a
major theme in artificial intelligence. Professor Paris provides here an introduction to the …
major theme in artificial intelligence. Professor Paris provides here an introduction to the …