Results 211 to 220 of about 2,125 (258)
A Return to Biased Nets: New Specifications and Approximate Bayesian Inference. [PDF]
Butts CT.
europepmc +1 more source
A Bayesian Integrative Mixed Modeling Framework for Analysis of the Multi-Site Adolescent Brain and Cognitive Development Study. [PDF]
Neher A +4 more
europepmc +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Conditionals and conditional thinking
Mind & Society, 2007In this paper, we claim that the problem of conditionals should be dealt with by carefully distinguishing between thinking conditional propositions and conditional thinking, i.e. thinking on the basis of some supposition. This distinction deserves further investigation, if we are to make sense of some old and new experimental data concerning the ...
MANFRINATI A. +2 more
openaire +5 more sources
The Importance of Conditioning in Conditioned Immunosuppression
International Journal of Neuroscience, 1988(1988). The Importance of Conditioning in Conditioned Immunosuppression. International Journal of Neuroscience: Vol. 39, No. 3-4, pp. 289-297.
Kelley, K.W., Dantzer, Robert
openaire +3 more sources
Conditional narrowing without conditions
Proceedings of the 5th ACM SIGPLAN international conference on Principles and practice of declaritive programming, 2003We present a new evaluation strategy for functional logic programs described by weakly orthogonal conditional term rewriting systems. Our notion of weakly orthogonal conditional rewrite system extends a notion of Bergstra and Klop and covers a large part of programs defined by conditional equations.
Sergio Antoy +2 more
openaire +1 more source
Neural Computation, 2012
Estimating conditional dependence between two random variables given the knowledge of a third random variable is essential in neuroscientific applications to understand the causal architecture of a distributed network. However, existing methods of assessing conditional dependence, such as the conditional mutual information, are computationally ...
Sohan Seth, José C. Príncipe
openaire +3 more sources
Estimating conditional dependence between two random variables given the knowledge of a third random variable is essential in neuroscientific applications to understand the causal architecture of a distributed network. However, existing methods of assessing conditional dependence, such as the conditional mutual information, are computationally ...
Sohan Seth, José C. Príncipe
openaire +3 more sources
On Bradley’s preservation condition for conditionals
Erkenntnis, 2007zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +2 more sources
Fundamenta Informaticae, 2000
Inspired from biochemistry and DNA computing, we introduce several variants of controlled concatenation of strings and languages: a finite set of pairs of strings is given and two arbitrary strings are concatenated only when among their substrings (scattered substrings, of various forms) we can find a pair in this control set.
Jürgen Dassow +3 more
openaire +3 more sources
Inspired from biochemistry and DNA computing, we introduce several variants of controlled concatenation of strings and languages: a finite set of pairs of strings is given and two arbitrary strings are concatenated only when among their substrings (scattered substrings, of various forms) we can find a pair in this control set.
Jürgen Dassow +3 more
openaire +3 more sources
Probabilistic entailment of conditionals by conditionals
IEEE Transactions on Systems, Man, and Cybernetics, 1994Symbolic logics that embody different theories of natural-language conditionals have been developed. One such logic is that of Ernest Adams. An Adams conditional /spl alpha/>/spl beta/ expresses the idea that the conditional probability Pr(/spl beta/|/spl alpha/) is close to one; his logic may be used to reason about such ideas.
openaire +1 more source

