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[PDF] Top 20 A quantum probability framework for human probabilistic inference

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A quantum probability framework for human probabilistic inference

A quantum probability framework for human probabilistic inference

... in human inference ...of human inference using quantum probability ...‘fully’ quantum to ‘fully’ classical, which could be adopted in different ...in human ... See full document

115

Probabilistic inference for dynamical systems

Probabilistic inference for dynamical systems

... general framework for inference in dynamical systems is described, based on the language of Bayesian probability theory and making use of the maximum entropy ... See full document

12

Probabilistic inference for determining options in reinforcement learning

Probabilistic inference for determining options in reinforcement learning

... option framework [37] incorporates such macro ...option framework has received considerable attention [28, 38, 8], to date most algorithms either require the manual specification of the activation policies ... See full document

23

Approximate Inference of Outcomes in Probabilistic Elections

Approximate Inference of Outcomes in Probabilistic Elections

... voting framework entails computational prob- ...winning probability problem, we are given a representation of the correspond- ing distribution over profiles (which we discuss later in this section), and a ... See full document

8

Probabilistic Framework For A Time Series

Probabilistic Framework For A Time Series

... a probability measure on , through P, given by [2]. This probability measure is called the probability distribution of the time series ...By inference for time series X, it is meant to be any ... See full document

6

A deterministic inference framework for discrete nonparametric latent variable models:learning complex probabilistic models with simple algorithms

A deterministic inference framework for discrete nonparametric latent variable models:learning complex probabilistic models with simple algorithms

... that framework: probabilistic principle component analysis (PCA) (Tipping & Bishop, 1999; Roweis, 1998), the Kalman filter and ...finite probability of repetition which is one reason why discrete ... See full document

167

A Quantum Probability Perspective on Borderline Vagueness

A Quantum Probability Perspective on Borderline Vagueness

... classical probability theory would ...on probability theory at ...classical probability theory (Brainerd & Reyna, ...of quantum probabilities and the idea of interference effects, in order ... See full document

44

A methodological framework for Monte Carlo probabilistic inference for diffusion processes

A methodological framework for Monte Carlo probabilistic inference for diffusion processes

... a general class of unbiased estimators. The richer structure allows a more insight- ful mathematical formulation of the problem, as one of importance sampling in a countable union of product spaces. This point of view ... See full document

25

Quantum probability theory as a common framework for reasoning and similarity

Quantum probability theory as a common framework for reasoning and similarity

... The research traditions of memory, rea- soning, and categorization have largely developed separately. This is especially true for reasoning and categorization, where the former has focused on logic and probability ... See full document

5

Probabilistic Modeling and Inference for Obfuscated Network Attack Sequences

Probabilistic Modeling and Inference for Obfuscated Network Attack Sequences

... Such results can be explained intuitively with the evaluation framework. In the experi- ment set up, we assume we know the full knowledge of attack model and noise model 3 , i.e., the joint distribution of clean ... See full document

141

Fourier Theoretic Probabilistic Inference over Permutations

Fourier Theoretic Probabilistic Inference over Permutations

... our framework, the information form approach can be viewed as a method for maintaining the Fourier transform of the log probability distribution at only the first two ... See full document

74

Inference in Probabilistic Logic Programs Using Lifted Explanations

Inference in Probabilistic Logic Programs Using Lifted Explanations

... programming framework to specify and use combinations of logical and statistical ...the framework of PLP, ...The inference algorithms used in many of these systems to evaluate the probability ... See full document

15

Online Infix Probability Computation for Probabilistic Finite Automata

Online Infix Probability Computation for Probabilistic Finite Automata

... Consider the second use case for the online al- gorithm from Section 1, where we have a 500-state PFA with |Σ| = 26 and an input string of length 9, which we wish to extend while maximizing the resulting infix ... See full document

6

Quantum Mechanics as a Reactive Probabilistic System

Quantum Mechanics as a Reactive Probabilistic System

... system. Quantum mechanics simulation (by droplets bouncing experiments on a vertical vibrating fluid path) is presented as a reactive ...of probability only, we’ll show that there exists a pseudo kinetic ... See full document

16

A  Probabilistic  Quantum  Key  Transfer  Protocol

A Probabilistic Quantum Key Transfer Protocol

... all quantum key distribution protocols have a similar concept behind them in which photons are first measured in random bases and then the chosen bases are compared ... See full document

9

Recognizing Textual Entailment Using Probabilistic Inference

Recognizing Textual Entailment Using Probabilistic Inference

... Another kind of deep methods involves first transferring natural language to logic represen- tation and then conducting strict logic inference based on the logic representations (de Salvo Braz et al., 2006; Tatu ... See full document

6

Staged Probabilistic Regression for Hand Orientation Inference

Staged Probabilistic Regression for Hand Orientation Inference

... staged probabilistic regressor (SPORE) which consists of multiple expert regressors, each one learning a sub- set of variations from the ...staged probabilistic learning, where each stage con- sists of ... See full document

46

Fast probabilistic inference and GPU video processing

Fast probabilistic inference and GPU video processing

... real-time or near real-time video processing. Despite this there have been some notable cases. In 2005 Apple released the Core Image framework which allows GPU acceleration of image and video processing tasks [3]. ... See full document

178

Prefix Probability for Probabilistic Synchronous Context Free Grammars

Prefix Probability for Probabilistic Synchronous Context Free Grammars

... Because of the introduction of rules with left-hand sides of the form A ε in both the left and right compo- nents of synchronous rules, it is not straightforward to do effective probabilistic parsing with the ... See full document

10

Compiling a Massive, Multilingual Dictionary via Probabilistic Inference

Compiling a Massive, Multilingual Dictionary via Probabilistic Inference

... simple inference procedure over translation graphs, called T RANS G RAPH , to find translations beyond those provided by any source ...the probability that the path maintains the same word sense along all ... See full document

9

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