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Results for Using the 3-gram Representation

1 gram, 1.5 gram, 3 gram

1 gram, 1.5 gram, 3 gram

... For the list of the additional ingredients, see section 6. See also 'Important information about some of the medicine's ingredients' in section 2. Read the leaflet carefully in its entirety before using the ...

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Visual Representation of Searched Results using Tree Diagram

Visual Representation of Searched Results using Tree Diagram

... Visual Representation of Searched Results using Tree Diagram Goh Kim Nee, Chen Yoke Yie, Richard Liaw Zhi Cheng Abstract – This paper presents a new search method and the representation of ...

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Distributed representation and estimation of WFST based n gram models

Distributed representation and estimation of WFST based n gram models

... (WFST) representation of an n-gram language model into multiple blocks or shards, each of which is a stand-alone WFST n-gram model in its own right, allowing process- ing with existing ...

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Statistical Representation of Grammaticality Judgements: the Limits of N Gram Models

Statistical Representation of Grammaticality Judgements: the Limits of N Gram Models

... In Figure 1 we show the distribution of the five scores for the four different corpora (transitive, ambiguous, pseudo, and intransitive) obtained us- ing the 100 million word model. In all cases we observe the same ...

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N-gram-Based Low-Dimensional Representation for Document Classification

N-gram-Based Low-Dimensional Representation for Document Classification

... meaningful results, such as king - man + woman ≈ ...addition. Using a clustering algorithm such as K-means, those representations are grouped into K clusters which can be viewed as semantic ...better ...

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On graphs with representation number 3

On graphs with representation number 3

... Further, using Propositions 2 and 5, we only need to consider two cases (the second one is unnecessary in the case of n = 4 because of symmetry) where we took into account that the vertices 1 ′ , 2 and n form an ...

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Comparative Analysis of N-gram Text Representation on Igbo Text Document Similarity

Comparative Analysis of N-gram Text Representation on Igbo Text Document Similarity

... text representation on Igbo text document similarity ...that using bigram text representation on tasks that require computing Igbo text document similarity will give better and effective ...

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Towards structured representation of academic search results

Towards structured representation of academic search results

... 4.3.2 Discriminating between classes and individuals Having selected the set of relevant categories, we need to split them into classes and individuals. Following our general approach, we view this task as a ...

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Graphical Representation of Data Chapter 3

Graphical Representation of Data Chapter 3

... The exact point of drawing an Isopleth is determined by using the following formulae. The interval is the difference between the actual value on the map and interpolated value. For example, in an Isotherm map of ...

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3-D Face Recognition Using Geodesic-Map Representation and Statistical Shape Modelling

3-D Face Recognition Using Geodesic-Map Representation and Statistical Shape Modelling

... geodesic-map representation with statistical shape modelling for handling the non-rigid deformation challenge in face ...proposed representation captures all geometrical information from the entire ...

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Tio2 mediated photocatalytic inactivation of gram-positive and gram-negative bacteria using fluorescent light

Tio2 mediated photocatalytic inactivation of gram-positive and gram-negative bacteria using fluorescent light

... inactivation using fluorescent light irradiation Photocatalytic inactivation was carried out at six irradiation durations of 0, 15, 30, 45, 60 and 120 ...counted using a colony counter daily on days 2 ...

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Gram-positive and gram-negative subcellular localization using rotation forest and physicochemical-based features

Gram-positive and gram-negative subcellular localization using rotation forest and physicochemical-based features

... solve Gram-positive and Gram-negative protein subcellular localizations in the following ...attributes using several classifiers and feature extrac- tion techniques and selected the 10 attributes ...

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3. Experimental Results

3. Experimental Results

... Figure 1: A schematic representation of the Large Air-Sea Interactions Facility. For each value of the mean wind speed, W equals to 0, 4, 5, 6, 8 and 10 m/s, the water surface deflections η was measured at 1 m ...

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3 Knowledge representation for game design – ontology

3 Knowledge representation for game design – ontology

... In order to bring the ontology to the developers, future works include creating an ontology-based tool. Our main focus are complex adaptive systems, with a special emphasis on engaging the user’s emotion to be the motor ...

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Detection of and Discrimination between Gram Positive and Gram Negative Bacteria in Intraocular Samples by Using Nested PCR

Detection of and Discrimination between Gram Positive and Gram Negative Bacteria in Intraocular Samples by Using Nested PCR

... of gram-positive and -negative bacteria in samples of ocular ...a gram-negative- organism-specific PCR, which resulted in a single 985-bp amplification product, and a multiplex PCR which resulted in two PCR ...

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Subcellular localization for Gram Positive and Gram Negative Bacterial Proteins using Linear Interpolation Smoothing Model

Subcellular localization for Gram Positive and Gram Negative Bacterial Proteins using Linear Interpolation Smoothing Model

... les using dependency models, which are used in linear interpolation to determine how likely is a sequence to belong to a particular subcellular ...of Gram positive and Gram negative bacterial ...

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Subcellular localization for Gram positive and Gram negative bacterial proteins using linear interpolation smoothing model

Subcellular localization for Gram positive and Gram negative bacterial proteins using linear interpolation smoothing model

... features using syn- tactical information from the protein sequences for predicting protein subcellular ...of Gram positive and Gram negative bacterial proteins is ...

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Predicting Sentences using N Gram Language Models

Predicting Sentences using N Gram Language Models

... previous results which indicate that selecting, and then editing, a suggested sentence often takes longer than writing that sentence from scratch (Langlais et ...

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Using n-gram analysis to cluster heartbeat signals

Using n-gram analysis to cluster heartbeat signals

... Second, the symbols are not generated by artificial experiences or functions, but by the Simple K-Means al- gorithm, which is one of the most popular clustering techniques that supplies clusters with minimal total vari- ...

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Bioremediation of hexavalent chromium using gram negative bacteria

Bioremediation of hexavalent chromium using gram negative bacteria

... 16S rRNA gene sequencing is a powerful tool used to trace phylogenetic relationships between bacteria and to identify bacteria from various sources, such as environmental or clinical specimens. 16S rRNA gene sequences ...

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