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"... Welcome to the final assignment of CSE321! In this assignment, you will implement a type reconstruction algorithm and a translator for a pure functional programming language called Tiny ML(TML). TML is essentially a subset of Standard ML(SML) that its core language is a subset of the core language ..."
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Welcome to the final assignment of CSE321! In this assignment, you will implement a type reconstruction algorithm and a translator for a pure functional programming language called Tiny ML(TML). TML is essentially a subset of Standard ML(SML) that its core language is a subset of the core language
A KANERVA NETWORK MODEL OF SYNTACTIC PARAMETERS
"... Sparse Distributed Memory (or Kanerva Networks) is a technique first introduced as a model of memory in neuroscience, [2] (see also §13 of [1] for a quick summary). In a large Boolean space FN2 one chooses a uniform random sample of hard locations. The number 2k of hard locations is small compared t ..."
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Sparse Distributed Memory (or Kanerva Networks) is a technique first introduced as a model of memory in neuroscience, [2] (see also §13 of [1] for a quick summary). In a large Boolean space FN2 one chooses a uniform random sample of hard locations. The number 2k of hard locations is small compared
Why Copulas?
"... Abstract. A natural way to represent a 1D probability distribution is to store its cumulative distribution function (cdf) F (x) = Prob(X x). When several random variables X1; : : : ; Xn are independent, the corresponding cdfs F1(x1),..., Fn(xn) provide a complete description of their joint distr ..."
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Abstract. A natural way to represent a 1D probability distribution is to store its cumulative distribution function (cdf) F (x) = Prob(X x). When several random variables X1; : : : ; Xn are independent, the corresponding cdfs F1(x1),..., Fn(xn) provide a complete description of their joint
Annals of Operations Research manuscript No. (will be inserted by the editor) Why Copulas Have Been Successful in Many Practical Applications: A Theoretical Explanation Based on Computational Efficiency
"... Abstract A natural way to represent a 1D probability distribution is to store its cumulative distribution function (cdf) F (x) = Prob(X ≤ x). When several random variables X1; : : : ; Xn are independent, the corresponding cdfs F1(x1),..., Fn(xn) provide a complete description of their joint distri ..."
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Abstract A natural way to represent a 1D probability distribution is to store its cumulative distribution function (cdf) F (x) = Prob(X ≤ x). When several random variables X1; : : : ; Xn are independent, the corresponding cdfs F1(x1),..., Fn(xn) provide a complete description of their joint
OROFACIAL GANGRENE (NOMA/CANCRUM ORIS): PATHOGENETIC MECHANISMS
"... ABSTRACT: Cancrum oris (Noma) is a devastating infectious disease which destroys the soft and hard tissues of the oral and paraoral structures. The dehumanizing orofacial gangrenous lesion affects predominantly children ages 2 to 16 years, particularly in subSaharan Africa, where the estimated f ..."
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by a consortium of microorganisms, with Fusobacterium necrophorum (Fn) and Prevotella intermedia (Pi) as the suspected key players. Additional to production of a growthstimulating factor for Pi, Fn displays a classic endotoxin, a dermonecrotic toxin, a cytoplasmic toxin, and a hemolysin. Without
1On the Confidentiality of Information Dispersal Algorithms and Their Erasure Codes
"... Abstract—Information Dispersal Algorithms (IDAs) have been widely applied to reliable and secure storage and transmission of data files in distributed systems. An IDA is a method that encodes a file F of size L = F  into n unrecognizable pieces F1, F2, · · · , Fn, each of size L/m (m < n), s ..."
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Abstract—Information Dispersal Algorithms (IDAs) have been widely applied to reliable and secure storage and transmission of data files in distributed systems. An IDA is a method that encodes a file F of size L = F  into n unrecognizable pieces F1, F2, · · · , Fn, each of size L/m (m < n
Diagnostic Accuracy of Virtual 18FFDG PET/CT Bronchoscopy for the Detection of Lymph Node Metastases in Non–Small Cell Lung Cancer Patients
"... The aim of this study was to determine the diagnostic accuracy of 18FFDG PET/CT bronchoscopy for the detection of regional lymph node metastases in non–small cell lung cancer (NSCLC) patients; potential differences in the maximum standardized uptake value (SUVmax), mean SUV (SUVmean), shortaxis di ..."
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axis diameter, and distance to the airways when comparing truepositive (TP), falsepositive (FP), truenegative (TN), and falsenegative (FN) lymph nodes; the smallest bronchus diameter accessible by virtual bronchoscopy; and the duration from the start of the virtual 18FFDG PET/CT bronchoscopy viewing tool
Phylogenetic Tree Construction for YDNA
"... Abstract. Male Ychromosome is currently used to estimate the paternal ancestry and migratory patterns of humans. Ychromosomal Short Tandem Repeat(STR) segments provide important data for reconstructing phylogenetic trees. However, STR data is not widely used for phylogeny because there is not enou ..."
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Abstract. Male Ychromosome is currently used to estimate the paternal ancestry and migratory patterns of humans. Ychromosomal Short Tandem Repeat(STR) segments provide important data for reconstructing phylogenetic trees. However, STR data is not widely used for phylogeny because
Why copulas have been successful in many practical applications: a theoretical explanation based on computational efficiency
 Proceedings of The Fourth International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making IUKM’2015
"... Abstract. A natural way to represent a 1D probability distribution is to store its cumulative distribution function (cdf) F (x) = Prob(X x). When several random variables X1; : : : ; Xn are independent, the corresponding cdfs F1(x1),..., Fn(xn) provide a complete description of their joint distr ..."
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Abstract. A natural way to represent a 1D probability distribution is to store its cumulative distribution function (cdf) F (x) = Prob(X x). When several random variables X1; : : : ; Xn are independent, the corresponding cdfs F1(x1),..., Fn(xn) provide a complete description of their joint
1 MarKovYukawa Transversality On Covariant Null Plane: Pion Form Factor, Gauge Invariance And Lorentz Completion
, 1999
"... The MarkovYukawa Transversality Principle (MYTP) on a 2body BetheSalpeter kernel is formulated on a covariant Null Plane (NP) to reconstruct the 4D BS wave function for 2 fermion quarks in terms of 3D entities that satisfy a 3D BSE. This result is the nullplane counterpart of a 3D4D interconnec ..."
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The MarkovYukawa Transversality Principle (MYTP) on a 2body BetheSalpeter kernel is formulated on a covariant Null Plane (NP) to reconstruct the 4D BS wave function for 2 fermion quarks in terms of 3D entities that satisfy a 3D BSE. This result is the nullplane counterpart of a 3D4D
Results 11  20
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