Results 251 to 260 of about 4,716,117 (295)
Some of the next articles are maybe not open access.
Biometrics, 1989
The tolerances of individuals (insects, parasites) in a population have a frequency or probability distribution called a tolerance distribution. Many tolerance distributions in bioassay studies can be the result of a rather heterogeneous population of individuals and can often be modelled as a mixture of a number of standard unimodal distributions.
Lwin, T., Martin, P. J.
openaire +3 more sources
The tolerances of individuals (insects, parasites) in a population have a frequency or probability distribution called a tolerance distribution. Many tolerance distributions in bioassay studies can be the result of a rather heterogeneous population of individuals and can often be modelled as a mixture of a number of standard unimodal distributions.
Lwin, T., Martin, P. J.
openaire +3 more sources
SAR images as mixtures of Gaussian mixtures
IEEE International Conference on Image Processing 2005, 2005We consider the problem of image segmentation by clustering local histograms with parametric mixture-of-mixture models. These models represent each cluster by a single mixture model of simple parametric components, typically truncated Gaussians. Clustering requires unsupervised inference of the model parameters, for which we derive a nested variant of ...
Peter Orbanz, Joachim M. Buhmann
openaire +1 more source
Natural Language Engineering, 1995
AbstractShannon (1948) showed that a wide range of practical problems can be reduced to the problem of estimating probability distributions of words and ngrams in text. It has become standard practice in text compression, speech recognition, information retrieval and many other applications of Shannon's theory to introduce a “bag-of-words” assumption ...
Kenneth Ward Church, William A. Gale
openaire +1 more source
AbstractShannon (1948) showed that a wide range of practical problems can be reduced to the problem of estimating probability distributions of words and ngrams in text. It has become standard practice in text compression, speech recognition, information retrieval and many other applications of Shannon's theory to introduce a “bag-of-words” assumption ...
Kenneth Ward Church, William A. Gale
openaire +1 more source
Risk Analysis, 1992
Human populations are generally exposed simultaneously to a number of toxicants present in the environment, including complex mixtures of unknown and variable origin. While scientific methods for evaluating the potential carcinogenic risks of pure compounds are relatively well established, methods for assessing the risks of complex mixtures are ...
D, Krewski, R D, Thomas
openaire +2 more sources
Human populations are generally exposed simultaneously to a number of toxicants present in the environment, including complex mixtures of unknown and variable origin. While scientific methods for evaluating the potential carcinogenic risks of pure compounds are relatively well established, methods for assessing the risks of complex mixtures are ...
D, Krewski, R D, Thomas
openaire +2 more sources
SIAM Review, 1977
This expository article develops the concepts of abstract convexity. Basic representation theorems are proved and discussed. The ideas are then applied to the behavioral, social and physical sciences. In particular, it is shown how convexity can be used in the study of color vision, decision theory, mathematical economics and quantum mechanics.
openaire +2 more sources
This expository article develops the concepts of abstract convexity. Basic representation theorems are proved and discussed. The ideas are then applied to the behavioral, social and physical sciences. In particular, it is shown how convexity can be used in the study of color vision, decision theory, mathematical economics and quantum mechanics.
openaire +2 more sources
2019
This chapter is concerned with methods for the analysis of data on outbreaks of infectious disease in which additional genomic information is available on the pathogen. Molecular typing data from viruses or bacteria isolated from individual patients can contain additional information on possible links in the contact network that have led to ...
Del Fava, E., Shkedy, Z.
openaire +2 more sources
This chapter is concerned with methods for the analysis of data on outbreaks of infectious disease in which additional genomic information is available on the pathogen. Molecular typing data from viruses or bacteria isolated from individual patients can contain additional information on possible links in the contact network that have led to ...
Del Fava, E., Shkedy, Z.
openaire +2 more sources
Practical Bayesian Inference Using Mixtures of Mixtures
Biometrics, 1996Discrete mixtures of normal distributions are widely used in modeling amplitude fluctuations of electrical potentials at synapses of human and other animal nervous systems. The usual framework has independent data values yj arising as yj = mu j + xn0 + j, where the means mu j come from some discrete prior G(mu) and the unknown xno + j's and observed xj,
Cao, Guoliang, West, Mike
openaire +2 more sources
Food and Chemical Toxicology, 2000
Drinking water can be considered as a complex mixture that consists of tens, hundreds or thousands of chemicals of which the composition is qualitatively and quantitatively not fully known. From a public health point of view it is most relevant to answer the question of whether chemicals in drinking water interact in a way that results in an increased ...
openaire +3 more sources
Drinking water can be considered as a complex mixture that consists of tens, hundreds or thousands of chemicals of which the composition is qualitatively and quantitatively not fully known. From a public health point of view it is most relevant to answer the question of whether chemicals in drinking water interact in a way that results in an increased ...
openaire +3 more sources
1996
The problem of predicting time series originating from mixtures of signals from independent dynamical systems is considered. We show that the problem of finding representations for the dynamics of such systems is hard if the mixing structure of the system is not taken into account. If, on the contrary, the sources can be unmixed in a preprocessing step
Klaus Pawelzik +2 more
openaire +1 more source
The problem of predicting time series originating from mixtures of signals from independent dynamical systems is considered. We show that the problem of finding representations for the dynamics of such systems is hard if the mixing structure of the system is not taken into account. If, on the contrary, the sources can be unmixed in a preprocessing step
Klaus Pawelzik +2 more
openaire +1 more source
Journal of the American Medical Association, 1957
The recent marketing of several novel mixtures of antibiotics has revived interest in the value of combinations of antibiotics. Various claims have been made for the superiority of a mixture of two antibiotics over either of the drugs used alone. It is claimed that mixtures of antibiotics should be used for the following reasons: (1) to produce a ...
openaire +2 more sources
The recent marketing of several novel mixtures of antibiotics has revived interest in the value of combinations of antibiotics. Various claims have been made for the superiority of a mixture of two antibiotics over either of the drugs used alone. It is claimed that mixtures of antibiotics should be used for the following reasons: (1) to produce a ...
openaire +2 more sources