Results 11  20
of
2,115
On reductionbased process semantics
 in Proceedings of FSTTCS ’93, LNCS 761
, 1995
"... Abstract. A formulation of semantic theories for processes which is based on reduction relation and equational reasoning is studied. The new construction can induce meaningful theories for processes, both in strong and weak settings. The resulting theories in many cases coincide with, and sometimes ..."
Abstract

Cited by 160 (27 self)
 Add to MetaCart
Abstract. A formulation of semantic theories for processes which is based on reduction relation and equational reasoning is studied. The new construction can induce meaningful theories for processes, both in strong and weak settings. The resulting theories in many cases coincide with, and sometimes
The strengthening the reporting of observational studies in epidemiology (STROBE) statement: guidelines for reporting observational studies.
 PLoS Med
, 2007
"... A B S T R A C T Much biomedical research is observational. The reporting of such research is often inadequate, which hampers the assessment of its strengths and weaknesses and of a study's generalisability. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Initi ..."
Abstract

Cited by 207 (1 self)
 Add to MetaCart
A B S T R A C T Much biomedical research is observational. The reporting of such research is often inadequate, which hampers the assessment of its strengths and weaknesses and of a study's generalisability. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE
Evaluation Of Gaussian Processes And Other Methods For NonLinear Regression
, 1996
"... This thesis develops two Bayesian learning methods relying on Gaussian processes and a rigorous statistical approach for evaluating such methods. In these experimental designs the sources of uncertainty in the estimated generalisation performances due to both variation in training and test sets are ..."
Abstract

Cited by 165 (17 self)
 Add to MetaCart
This thesis develops two Bayesian learning methods relying on Gaussian processes and a rigorous statistical approach for evaluating such methods. In these experimental designs the sources of uncertainty in the estimated generalisation performances due to both variation in training and test sets
Generalised Coinduction
, 2001
"... We introduce the lambdacoiteration schema for a distributive law lambda of a functor T over a functor F. Under certain conditions it can be shown to uniquely characterise functions into the carrier of a final Fcoalgebra, generalising the basic coiteration schema as given by finality. The duals of ..."
Abstract

Cited by 30 (3 self)
 Add to MetaCart
We introduce the lambdacoiteration schema for a distributive law lambda of a functor T over a functor F. Under certain conditions it can be shown to uniquely characterise functions into the carrier of a final Fcoalgebra, generalising the basic coiteration schema as given by finality. The duals
A General Method for Approximating Nonlinear Transformations of Probability Distributions
, 1996
"... In this paper we describe a new approach for generalised nonlinear filtering. We show that the technique is more accurate, more stable, and far easier to implement than an extended Kalman filter. Several examples are provided, including the application of the new filter to problems involving discont ..."
Abstract

Cited by 172 (3 self)
 Add to MetaCart
In this paper we describe a new approach for generalised nonlinear filtering. We show that the technique is more accurate, more stable, and far easier to implement than an extended Kalman filter. Several examples are provided, including the application of the new filter to problems involving
Generalised Shot noise Cox processes
 ADVANCES IN APPLIED PROBABILITY 35
, 2003
"... We introduce a new class of Cox cluster processes called generalised shotnoise Cox processes (GSNCPs), which extends the definition of shot noise Cox processes (SNCPs) in two directions: the point process which drives the shot noise is not necessarily Poisson, and the kernel of the shot noise can b ..."
Abstract

Cited by 37 (6 self)
 Add to MetaCart
We introduce a new class of Cox cluster processes called generalised shotnoise Cox processes (GSNCPs), which extends the definition of shot noise Cox processes (SNCPs) in two directions: the point process which drives the shot noise is not necessarily Poisson, and the kernel of the shot noise can
Generalised Test = Generalised Inference
, 1996
"... We are used to viewing verification and validation as tasks to be performed after a knowledgebase is built. In this standard view, the inference engine is built first, the knowledge base is then filled out, then finally a test engine is added to verify or validate the knowledge. Here, we reverse th ..."
Abstract
 Add to MetaCart
this order. First, we define a general test engine. Then, we argue that this "test" engine is also a general inference engine. That is, an architecture supporting a generalised test engine subsumes architectures that merely support inference. I. Introduction The knowledge acquisition community
2011 Generalised Wishart processes
 In Uncertainty in Artificial Intelligence
"... We introduce a new stochastic process called the generalised Wishart process (GWP). It is a collection of positive semidefinite random matrices indexed by any arbitrary input variable. We use this process as a prior over dynamic (e.g. time varying) covariance matrices Σ(t). The GWP captures a diver ..."
Abstract

Cited by 14 (5 self)
 Add to MetaCart
We introduce a new stochastic process called the generalised Wishart process (GWP). It is a collection of positive semidefinite random matrices indexed by any arbitrary input variable. We use this process as a prior over dynamic (e.g. time varying) covariance matrices Σ(t). The GWP captures a
Specialisation and Generalisation of Processes
"... Abstract. In data modelling, one of the most important abstraction concepts is specialisation, with generalisation being the converse. Although there are already some approaches to define generalisation for process modelling as well, there is no generally accepted notion of generalisation for proces ..."
Abstract
 Add to MetaCart
Abstract. In data modelling, one of the most important abstraction concepts is specialisation, with generalisation being the converse. Although there are already some approaches to define generalisation for process modelling as well, there is no generally accepted notion of generalisation
Nonintersecting squared Bessel paths: critical time and double scaling limit
 Comm. Math. Phys
"... We consider the double scaling limit for a model of n nonintersecting squared Bessel processes in the confluent case: all paths start at time t = 0 at the same positive value x = a, remain positive, and are conditioned to end at time t = 1 at x = 0. After appropriate rescaling, the paths fill a reg ..."
Abstract

Cited by 9 (2 self)
 Add to MetaCart
We consider the double scaling limit for a model of n nonintersecting squared Bessel processes in the confluent case: all paths start at time t = 0 at the same positive value x = a, remain positive, and are conditioned to end at time t = 1 at x = 0. After appropriate rescaling, the paths fill a
Results 11  20
of
2,115