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Algorithm for the inference of Security Requirements

A Type Inference Algorithm for Secure Ambients

A Type Inference Algorithm for Secure Ambients

... type inference algorithm with respect to the type assignment system (Theorem ...greater security clearance enables it to do, so to speak, whatever it ...

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A General Purpose Algorithm for Constrained Sequential Inference

A General Purpose Algorithm for Constrained Sequential Inference

... sequential inference algorithms, where an automaton is tra- versed in lock-step to guide the search to always output a valid ...in Algorithm 1. Con- cretely, when predicting y i , the inference ...

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Tabu Search and Genetic Algorithm for Phylogeny Inference

Tabu Search and Genetic Algorithm for Phylogeny Inference

... In Chapter 5, a hybrid method which combines genetic algorithm and tabu search is presented for the maximum-parsimony phylogeny inference. Each tree topology is converted to its canonical form and the ...

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An Effective Supervised & Unsupervised algorithm for OSN Inference Attacks
                 

An Effective Supervised & Unsupervised algorithm for OSN Inference Attacks  

... Flow Chart The Proposed Methodology implemented here for the security from Inference Attacks. First we will select a dataset of an online social network and make out unweighted and weighted datasets from ...

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CiteSeerX — A tractable inference algorithm for diagnosing multiple diseases

CiteSeerX — A tractable inference algorithm for diagnosing multiple diseases

... The leaky or-gate model was assumed implicitly by the developers of the QMR expert system (Miller, 1987). In conjunction with the independence assumptions shown in Figure 1, the model made tractable the transformation of ...

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LEDIR: An Unsupervised Algorithm for Learning Directionality of Inference Rules

LEDIR: An Unsupervised Algorithm for Learning Directionality of Inference Rules

... Semantic inference is a core component of many natural language ...an algorithm called LEDIR that filters incorrect inference rules and identi- fies the directionality of correct ...

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TIGS: An Inference Algorithm for Text Infilling with Gradient Search

TIGS: An Inference Algorithm for Text Infilling with Gradient Search

... some inference al- gorithms based on BiRNNs have been proposed for fill-in-the-blank tasks thanks to their ability to model both forward and backward dependen- ...(BiBS) inference algorithm of BiRNNs ...

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Decision making using Multi Inference-LDA          Algorithm

Decision making using Multi Inference-LDA Algorithm

... Thiruvanathapuram Kerala, India Abstract—Need of data mining is getting increased day by day, when large organizations rely on data to make business decisions. The core concept of mining rely with a digging conceptual ...

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Improved genetic algorithm for the context-free grammatical inference

Improved genetic algorithm for the context-free grammatical inference

... grammatical inference, is an active area in machine learning and computational learning ...CYK algorithm, simultaneously with genetic ...the algorithm suggested by ...

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Fuzzy Inference Algorithm based on Quantitative Association Rules

Fuzzy Inference Algorithm based on Quantitative Association Rules

... fuzzy inference rules from the data, in this paper a fuzzy inference algorithm based on quantitative association rule (FI-QAR) is ...discretization algorithm based on an improved clustering ...

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A Spectral Algorithm for Inference in Hidden semi-Markov Models

A Spectral Algorithm for Inference in Hidden semi-Markov Models

... spectral algorithm which requires estimating X, D and O for all the time stamps ...spectral algorithm in Section ...the inference, ...overall algorithm becomes faster and more ...

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ANFISGA - Adaptive Neuro-Fuzzy Inference System Genetic Algorithm

ANFISGA - Adaptive Neuro-Fuzzy Inference System Genetic Algorithm

... genetic algorithm fails to find the global optimum, the problem is often credited to premature ...genetic algorithm is ...Neuro-Fuzzy Inference System Genetic Algorithm to select a suitable ...

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Hybrid Algorithm for Edge Detection using Fuzzy Inference System

Hybrid Algorithm for Edge Detection using Fuzzy Inference System

... detection algorithm based on fuzzy inference system. Fuzzy inference system has been designed for three inputs using Gaussian membership functions, one output using Triangle membership function that ...

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Inference in credal networks: branch-and-bound methods and the A/R+ algorithm

Inference in credal networks: branch-and-bound methods and the A/R+ algorithm

... exact inference—that is, the size of the OPEN heap grows too ...the algorithm up to a prescribed memory limit; upon termination, the OPEN heap is examined, and the element with the maximum bound is selected ...

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IV. ALGORITHM FOR FUZZY INFERENCE SYSTEM FOR DIAGNOSIS OF SEVERITY OF ARTHRITIS

IV. ALGORITHM FOR FUZZY INFERENCE SYSTEM FOR DIAGNOSIS OF SEVERITY OF ARTHRITIS

... fuzzy inference system IV. ALGORITHM FOR FUZZY INFERENCE SYSTEM FOR DIAGNOSIS OF SEVERITY OF ARTHRITIS Using the 12 symptoms of Arthritis, 12 input variables and one output variable “Condition” was ...

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Parallelization of a Maximum Parsimony Branch and Bound Algorithm for Phylogenetic Inference

Parallelization of a Maximum Parsimony Branch and Bound Algorithm for Phylogenetic Inference

... This Thesis is brought to you for free and open access by the Thesis/Dissertation Collections at RIT Scholar Works. It has been accepted for inclusion in Theses by an authorized administrator of RIT Scholar Works. For ...
Applications of the Sinkhorn-Knopp algorithm for phylogenetic inference

Applications of the Sinkhorn-Knopp algorithm for phylogenetic inference

... • The methods based on the flattening matrices attains the best results in the simulations carried on Huelsenbeck’s treespace beating popular reconstruction methods as Neighbour- Joining or Maximum-likelihood (see Table ...

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Ecstatic Type Inference for Ruby Using the Cartesian Product Algorithm

Ecstatic Type Inference for Ruby Using the Cartesian Product Algorithm

... If we turn our attention to the context-eval methods that take a block as pa- rameter, the issue becomes simpler. Ultimately, because the block is readily parseable and therefore can be used directly in type ...

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GenFamClust: an accurate, synteny-aware and reliable homology inference algorithm

GenFamClust: an accurate, synteny-aware and reliable homology inference algorithm

... homology inference approaches as seen in diverse biological datasets as well as the synthetic datasets, and that the local synteny module of GFC adds biologically relevant and useful information to identify ...

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A sequential Monte Carlo algorithm for inference of subclonal structure in cancer

A sequential Monte Carlo algorithm for inference of subclonal structure in cancer

... Application to solid tumor datasets Data pre-processing. The somatic mutation data of real solid tumors come from the American Association for Cancer Research (AACR) Genomics Evidence Neoplasia Informa- tion Exchange ...

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