For those who, like me, have been associated with these meetings since tile beginning, it is a privilege and an enormous pleasure to return to France, and to u conference organized under the auspices of the University of Grenoble. it is too little recognized how much the field of comlmtational linguistics owes to this country and to that university. My predecessor, the second chairman of the In...

We present a novel method for approximate inference in Bayesian models and regularized risk functionals. It is based on the propagation of mean and variance derived from the Laplace approximation of conditional probabilities in factorizing distributions, much akin to Minka’s Expectation Propagation. In the jointly normal case, it coincides with the latter and belief propagation, whereas in the ...

Marriage in Honey Bees Optimization (MBO) is a new swarm intelligence technique inspired by the marriage process of honey bees. It has been shown to be very effective in solving the propositional satisfiability problem known as 3–SAT (each clause has exactly three literals). The objective of this paper is to test a conventional annealing approach as a basis for determining the pool of drones (f...

Two incident·detection experiments were conducted on the Queen Elizabeth Way Freeway Surveillance and Control System in Ontario. A pattern·recognition approach was applied to improve incident·detection algorithms. By considering the trueand false-incident-alarm identification process as pattern-recognition in nature, the maximum-likelihood decision principle was applied to develop an optimum in...

The learning properties of a universal approximator, a normalized committee machine with adjustable biases, are studied for on-line back-propagation learning. Within a statistical mechanics framework, numerical studies show that this model has features which do not exist in previously studied two-layer network models without adjustable biases, e.g., attractive suboptimal symmetric phases even f...

In this paper, our rst purpose is to study the performance of gating network functions in a committee machine setting. The problem of image deblur-ring is used to test the capability of such a system. Input clustering divides the task of deblurring into several subtasks. Each subtask is performed by a projection pursuit learning network (PPLN) 1]. We use a dynamic gating structure to combine ou...

Parallel perceptrons (PPs), a novel approach to committee machine training requiring minimal communication between outputs and hidden units, allows the construction of efficient and stable nonlinear classifiers. In this work we shall explore how to improve their performance allowing their output weights to have real values, computed by applying Fisher’s linear discriminant analysis to the commi...

On the 50th anniversary of the Committee of Presidents of Statistical Societies I reflect on the rise of the field of Machine Learning and what it means for Statistics. Machine Learning offers a plethora of new research areas, new applications areas and new colleagues to work with. Our students now compete with Machine Learning students for jobs. I am optimistic that visionary Statistics depart...

introduction: the aim of this research was to determine the effectiveness of instructing hardiness components on anxiety level of national olympic committee personnel. materials and methods: the study was a semi-experimental research. the statistical population included all the personnel of the national olympic committee of islamic republic of iran employed in 2013-2014 who contained 117 indivi...