scholarly journals Regularization via Deep Generative Models: an Analysis Point of View

2021 ◽  
Author(s):  
Thomas Oberlin ◽  
Mathieu Verm
Keyword(s):  
Generative Models ◽  
Point Of View ◽  
Analysis Point

scholarly journals Syllabification of the Divine Comedy

2021 ◽  
Vol 14 (3) ◽  
pp. 1-26
Author(s):  
Andrea Asperti ◽  
Stefano Dal Bianco
Keyword(s):  
Text Processing ◽  
Solution Space ◽  
Generative Models ◽  
Divine Comedy ◽  
Point Of View ◽  
Computer Assisted ◽  
Wide Range ◽  
The Divine Comedy ◽  
Left And Right ◽  
Assisted Analysis

We provide a syllabification algorithm for the Divine Comedy using techniques from probabilistic and constraint programming. We particularly focus on the synalephe , addressed in terms of the "propensity" of a word to take part in a synalephe with adjacent words. We jointly provide an online vocabulary containing, for each word, information about its syllabification, the location of the tonic accent, and the aforementioned synalephe propensity, on the left and right sides. The algorithm is intrinsically nondeterministic, producing different possible syllabifications for each verse, with different likelihoods; metric constraints relative to accents on the 10th, 4th, and 6th syllables are used to further reduce the solution space. The most likely syllabification is hence returned as output. We believe that this work could be a major milestone for a lot of different investigations. From the point of view of digital humanities it opens new perspectives on computer-assisted analysis of digital sources, comprising automated detection of anomalous and problematic cases, metric clustering of verses and their categorization, or more foundational investigations addressing, e.g., the phonetic roles of consonants and vowels. From the point of view of text processing and deep learning, information about syllabification and the location of accents opens a wide range of exciting perspectives, from the possibility of automatic learning syllabification of words and verses to the improvement of generative models, aware of metric issues, and more respectful of the expected musicality.

scholarly journals HURWITZ THEOREM AND PARALLELIZABLE SPHERES FROM TENSOR ANALYSIS

2001 ◽  
Vol 16 (25) ◽  
pp. 4207-4222 ◽  
Author(s):  
J. A. NIETO ◽  
L. N. ALEJO-ARMENTA
Keyword(s):  
Clifford Algebra ◽  
Point Of View ◽  
Tensor Analysis ◽  
Tensor Algebra ◽  
Normed Algebra ◽  
Curved Spaces ◽  
Hurwitz Theorem ◽  
Analysis Point

By using tensor analysis, we find a connection between normed algebras and the parallelizability of the spheres S 1, S 3 and S 7. In this process, we discovered the analog of Hurwitz theorem for curved spaces and a geometrical unified formalism for the metric and the torsion. In order to achieve these goals we first develop a proof of Hurwitz theorem based on tensor analysis. It turns out that in contrast to the doubling procedure and Clifford algebra mechanism, our proof is entirely based on tensor algebra applied to the normed algebra condition. From the tersor analysis point of view our proof is straightforward and short. We also discuss a possible connection between our formalism and the Cayley–Dickson algebras and Hopf maps.

scholarly journals Effects of N, P, K and S application on yield and quality of white jute (Corchorus capsularis L.) var. BJC-2197

2012 ◽  
Vol 21 (2) ◽  
pp. 109-116
Author(s):  
Sayma Khanom ◽  
Sonia Hosssain ◽  
Shahid Akhtar Hossain
Keyword(s):  
Growth Yield ◽  
Quality Parameters ◽  
Point Of View ◽  
Corchorus Capsularis ◽  
Yield And Quality ◽  
S Application ◽  
Positive Effect ◽  
S Fertilizers ◽  
Analysis Point

A field experiment was conducted at Bangladesh Jute Research Institute (BJRI) to observe the response of N, P, K and S on a pre?released white jute (Corchorus capsularis) var. BJC?2197. The experiment was carried out by applying N, P, K, S fertilizers in ten combinations including control. From the experiment it was observed that all the treatments had significant positive effect over control on growth, yield and quality parameters. The highest fiber yield (3.21 t/ha) and stick yield (6.58 t/ha) were recorded with N90P5K30S10 kg/ha treatment. However, the best quality fiber was found with combination of N90P15K30S10 kg/ha treatment. From the economic analysis point of view, it was found that combination of N90P5K30S10 kg/ha was higher (2.30) than N90P15K30S10 kg/ha (2.04). So the former can be considered as the best combination for var. BJC?2197 in terms of BCR, yield and quality. Dhaka Univ. J. Biol. Sci. 21(2): 109?116, 2012 (July) DOI: http://dx.doi.org/10.3329/dujbs.v21i2.11508

scholarly journals Perturbation-based inference for diffusion processes: Obtaining effective models from multiscale data

2018 ◽  
Vol 28 (08) ◽  
pp. 1565-1597
Author(s):  
Sebastian Krumscheid
Keyword(s):  
Diffusion Processes ◽  
Point Of View ◽  
Coarse Grained ◽  
Stability And Convergence ◽  
Estimation Of Parameters ◽  
Inference Procedure ◽  
Inference Problem ◽  
Discrete Time Observations ◽  
Effective Models ◽  
Analysis Point

We consider the inference problem for parameters in stochastic differential equation (SDE) models from discrete time observations (e.g. experimental or simulation data). Specifically, we study the case where one does not have access to observations of the model itself, but only to a perturbed version that converges weakly to the solution of the model. Motivated by this perturbation argument, we study the convergence of estimation procedures from a numerical analysis point of view. More precisely, we introduce appropriate consistency, stability, and convergence concepts and study their connection. It turns out that standard statistical techniques, such as the maximum likelihood estimator, are not convergent methodologies in this setting, since they fail to be stable. Due to this shortcoming, we introduce and analyse a novel inference procedure for parameters in SDE models which turns out to be convergent. As such, the method is particularly suited for the estimation of parameters in effective (i.e. coarse-grained) models from observations of the corresponding multiscale process. We illustrate these theoretical findings via several numerical examples.

Experimental Analysis of Resistance to Electrocorosion of a High Chromium Cast Iron with Applications in the Vehicle Industry

2017 ◽  
Vol 68 (10) ◽  
pp. 2397-2401 ◽  
Author(s):  
Costel Dorel Florea ◽  
Ioan Carcea ◽  
Ramona Cimpoesu ◽  
Stefan Lucian Toma ◽  
Ioan Gabriel Sandu ◽  
...  
Keyword(s):  
Corrosion Resistance ◽  
Cast Iron ◽  
Point Of View ◽  
Industrial Scale ◽  
High Chromium ◽  
High Chromium Cast Iron ◽  
Brake Discs ◽  
Chromium Cast Iron ◽  
Analysis Point ◽  
Automotive Brake

We obtained a new Fe-C material, a cast iron with high chromium content. The experimental material was analyzed by microstructural (SEM electronic) and chemical (EDAX characteristic X-ray dispersive energy analysis) point of view. The addition of chromium is aimed to increase the corrosion resistance and durability of FC250 castings used on industrial scale in the manufacture of automotive brake discs. The material was obtained using an industrial scale furnace. The experimental results showed a substantial increase in corrosion resistance by the addition of chromium.

scholarly journals Influence of the context on the perception of wine cognitive and methodological implications

OENO One ◽  
1999 ◽  
Vol 33 (4) ◽  
pp. 187 ◽  
Author(s):  
Frédéric Brochet ◽  
Gil Morrot
Keyword(s):  
Sensory Analysis ◽  
Point Of View ◽  
Lexical Analysis ◽  
Food Perception ◽  
Global Representation ◽  
Different Origins ◽  
Analysis Point

<p style="text-align: justify;">The influence of the context on the perception of food is studied by having a group of 57 french oenology students tasting the same wine in two different packages (common table wine VDT and grand cru classé GCC). This context modification does not affect the stimulus itself but only the cognitive part of the perception. Results show that the packaging induces different judgments for the same wine. All the tasters give different marks for both wines and the GCC wine has significant (52/57) best records. Lexical analysis of wine tasting comments in both contexts reveals totally opposite describing behaviors of the tasters, most of the subjects looking for faults in the wine presented as VDT and seekink qualities in the GCC labeled wine. Subjects tend to adjust their sensory perceptions to the quality suggested by the label. From a sensory analysis point of view, our results emphasize the role of context in food perception. The perceived flavour of the wine is different when it is tasted in a different context. From a cognitive point of view, these data suggest that the conscious perceptive representation of the food contains information from different origins and that a subject is not able to selectively extract chemiosensory information from this global representation.</p>

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