«bernoulli binary»
۳۶۷ نتیجهThe genealogy of a sample from a binary branching process
At time 0, start a time-continuous binary branching process, where particles give birth to a single particle independently (at a possibly time-dependent rate) and die independently (at a possibly time-dependent and age-dependent rate). A particular case is the classical birth–dea
On the use of Bernoulli mixture models for text classi$cation
Mixture modelling of class-conditional densities is a standard pattern recognition technique. Although most research on mixture models has concentrated on mixtures for continuous data, emerging pattern recognition applications demand extending research e/orts to other data types.
Discriminative Bernoulli HMMs for isolated handwritten word recognition
Bernoulli HMMs (BHMMs) have been successfully applied to handwritten text recognition (HTR) tasks such as continuous and isolated handwritten words. BHMMs belong to the generative model family and, hence, are usually trained by (joint) maximum likelihood estimation (MLE) by means
Reliable Learning of Bernoulli Mixture Models
Abstract In this paper, we have derived a set of sufficient conditions for reliable clustering of data produced by Bernoulli Mixture Models (BMM), when the number of clusters is unknown. A BMM refers to a random binary vector whose components are independent Bernoulli trials with
Irrotational Binary Neutron Stars in Quasiequilibrium in General Relativity
Neutron stars in binary orbit emit gravitational waves and spiral slowly together. During this inspiral, they are expected to have very little vorticity. It is in fact a good approximation to treat the system as having zero vorticity, i.e., as irrotational. Because the orbital pe
On the Capacity of a Binary MIMO Channel with Random Interference
We study the capacity of a binary multiple input multiple output (MIMO) channel with interference. Interference is modelled as a non-linear relation between the input and the output words of the system. Namely, we assume that the fading coefficients in the channel matrix are bina
Discovering causal structures in binary exclusive-or skew acyclic models
Discovering causal relations among observed variables in a given data set is a main topic in studies of statistics and artificial intelligence. Recently, some techniques to discover an identifiable causal structure have been explored based on non-Gaussianity of the observed data
How to quantize n outputs of a binary symmetric channel to n - 1 bits?
Suppose that Y n is obtained by observing a uniform Bernoulli random vector X through a binary symmetric channel with crossover probability α. The “most informative Boolean function” conjecture postulates that the maximal mutual information between Y n and any Boolean function b(
Beyond Independence: Probabilistic Models for Query Approximation on Binary Transaction Data
We investigate the problem of generating fast approximate answers to queries posed to large sparse binary data sets. We focus in particular on probabilistic model-based approaches to this problem and develop a number of techniques that are significantly more accurate than a basel
Probabilistic Topological Map and Binary data
The Self Organizing Map (SOM) proposed by Kohonen [7] is a well known neural model which provides both quantization and clustering of the observation space. In this paper, we adapt the Bernoulli mixture approach, proposed by [6], to the model of binary topological map [2] and sho