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Machine learning using c sharp succinctly

Machine learning using c sharp succinctly

Machine learning using c sharp succinctly

... example, by using a generic Dictionary collection for each attribute column The GACUC algorithm computes category utility many times It would be possible to compute CU from scratch each time, which would ... CatClusterer cc = new CatClusterer(numClusters, rawData); double cu; int[] clustering = cc.Cluster(numRestarts, out cu); Console.WriteLine("Clustering complete"); Console.WriteLine("Final clustering ... example code small, and the main ideas as clear as possible, all normal error checking is omitted using System; using System.Collections.Generic; namespace ClusterCategorical { class ClusterCatProgram...
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Neural Networks Using C Sharp Succinctly by James McCaffrey

Neural Networks Using C Sharp Succinctly by James McCaffrey

... why neural networks are sometimes called multilayer perceptrons Second, neural networks typically use activation functions which are more sophisticated than the step function typically used by ... Watkins The lead technical editor thoroughly reviewed the book's organization, code quality, and calculation accuracy—Chris Lee And several of my colleagues at Microsoft acted as technical reviewers ... y-value to predict can take only one of two possible categorical values, such as "male" or "female", can be considered a special case You can encode such values using standard dummy encoding: male...
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Tài liệu Object Oriented Programming using C sharp ppt

Tài liệu Object Oriented Programming using C sharp ppt

... source code to execute on a particular machine… compilation into machine-language object code direct execution of source code by ‘interpreter’ program compilation into intermediate object code ... allowing current parts of the system to interact with new object without concern for the speciic properties of the new objects 1.5 What Exactly is Object Oriented Programming? Activity Think of an object ... Chapter 8) Download free eBooks at bookboon.com 29 Object Oriented Programming using C# An Introduction to Object Orientated Programming 1.9 Summary Object oriented programming involves the creation...
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Code C sharp succinctly

Code C sharp succinctly

... Calculator sciCalc = new ScientificCalculator(); double sciCalcResult = sciCalc.Add(2, 5); Console.WriteLine($"Scientific Calculator + 5: {sciCalcResult}"); Calculator prgCalc = new ProgrammerCalculator(); ... Calculator o ScientificCalculator o ProgrammerCalculator In C# , you would express this relationship as follows public class Calculator { } public class ScientificCalculator : Calculator { } public class ... inheritance with the previous classes using System; public class Program { public static void Main() { ScientificCalculator sciCalc = new ScientificCalculator(); double powerResult = sciCalc.Power(2,...
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Data capture and extraction with C sharp succinctly

Data capture and extraction with C sharp succinctly

... cross-platform wrapper called EmguCV that we will use to interact with Tesseract and to perform data extraction and OCR on TIFF with CCITT Group IV compression screenshots EmguCV allows OpenCV ... are in place and no runtime exceptions are produced As with other libraries, OpenCV and EmguCV can be used for much more than OCR screenshots and text and word extraction We’ve only scratched the ... Data Capture and Extraction with C# Succinctly By Ed Freitas Foreword by Daniel Jebaraj Copyright © 2016 by Syncfusion Inc 2501 Aerial Center Parkway Suite 200 Morrisville, NC 27560 USA...
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Object oriented programming c sharp succinctly

Object oriented programming c sharp succinctly

... public void Connect() { Console.WriteLine("Connected to SQL Server!"); } } public class OracleConnectionManager : IConnectionManager { public void Close() { Console.WriteLine("Closed Oracle connection ... Interface Code Listing 39: Concrete Factories public class RedControlFactory : IControlFactory { public Control CreateTextBox() { return new TextBox { BackColor = Color.Red }; } public Control CreateCheckBox() ... public interface IConnectionManager { void Close(); void Connect(); } public class SqlConnectionManager : IConnectionManager { public void Close() { Console.WriteLine("Closed SQL Server connection...
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Tài liệu Báo cáo khoa học:

Tài liệu Báo cáo khoa học: "Extracting Comparative Sentences from Korean Text Documents Using Comparative Lexical Patterns and Machine Learning Techniques" doc

... ‘Man-kum’ Comparative and ‘Cheo-rum’ Comparative Society of Korean Semantics, 14:197-221 Nitin Jindal and Bing Liu 2006 Identifying Comparative Sentences in Text Documents, Association for Computing Machinery/Special ... online documents from various domains They discussed their disagreements and they finally annotated 7,384 sentences Table shows the number of comparative sentences and non -comparative sentences ... noncomparative sentences only from comparative sentence candidates with a CKL2 keyword Eliminating Non -comparative tences from the Candidates Sen- To effectively eliminate non -comparative sentences...
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Tài liệu Báo cáo khoa học:

Tài liệu Báo cáo khoa học: "Trimming CFG Parse Trees for Sentence Compression Using Machine Learning Approaches" pptx

... only original sentences are parsed, and the parse trees of compressed sentences are extracted from the original parse trees An example of this method is shown in Figure The original sentence is ... goal sentence length for summaries In the first experiment, the system was given only a sentence and no sentence length information The sentence compression problem without the length information ... Noisy-Channel Model for Sentence Compression B D Knight and Marcu proposed a sentence compression method using a noisy-channel model (Knight and Marcu, 2000) This model assumes that a long sentence was...
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Báo cáo khoa học:

Báo cáo khoa học: "Paraphrase Recognition Using Machine Learning to Combine Similarity Measures" ppt

... similarity measures Finally, we locate the s1 with the best average similarity (over all similarity measures) to s2 , namely s1∗ : 10 S2 : Fewer than a dozen FBI agents will be sent to Iraq to ... + DEP uses additional features that measure grammatical relation similarity Supervised machine learning is used to learn how to combine the resulting features We experimented with a Maximum Entropy ... measure similar to BLEU The produced vectors are then used to train a decision tree classifier Hence, Zhang and Patrick’s approach is similar to ours, but we use more and different similarity measures...
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Báo cáo khoa học:

Báo cáo khoa học: "Using Machine-Learning to Assign Function Labels to Parser Output for Spanish" ppt

... learning to perform various graph transformations One of the transformations is node relabelling, which adds function tags to parser output They report an fscore of 88.5% for the task of function ... 3.2 Adding Function Tags to Parser Output 4.1 The solution we adopt instead is to add Cast3LB functional tags to simple constituent trees output by the parser, as a postprocessing step For English, ... typically absent in output generated by probabilistic parsers In order to solve this difficulty, O’Donovan et al (2005) train Bikel’s parser to output complex category -function labels A complex label...
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Báo cáo khoa học:

Báo cáo khoa học: "Extraction of definitions using grammar-enhanced machine learning" pdf

... either only machine learning or only a grammar and not a combination of the two and (2) they not distinguish different definition types The advantage of using a combination of a grammar and machine ... properties Thereafter, machine learning methods are applied on the set of candidate definitions to distinguish definitions from non -definitions; to this end a combination of attributes has been ... distinguishing definitions from nondefinitions, we decided to add information on the structure of this part in the features of the data obtained with the basic grammar Also the first part of the definiens often...
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Báo cáo khoa học:

Báo cáo khoa học: "Using Emoticons to reduce Dependency in Machine Learning Techniques for Sentiment Classification" pot

... Dependencies in Sentiment Classification Experimental Setup In this section, we describe experiments we have carried out to determine the in uence of domain, topic and time on machine learning based sentiment ... negative sentiment (selected by independent trained annotators), each containing 100 stories We trained a model on a dataset relating to one topic and tested that model using the other topics Figure ... Domain dependency in sentiment classification Figure 1: Topic dependency in sentiment classification Ac- Accuracies, in percent Best performance on a test set for each model is highlighted in bold...
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Báo cáo khoa học:

Báo cáo khoa học: "Using Machine Learning to Explore Human Multimodal Clarification Strategies" ppt

... (e.g to the user model), we would need to explore many more strategies through interactions with users to find an optimal one One way to reduce costs for building such an optimised strategy is to ... a clarification Figure 4: Five-rule tree from J4.8 (“inf” = ∞) Summary and Future Work We showed that humans use a context-dependent strategy for asking multimodal clarification requests by learning ... step towards a RL-based system is to add task-level and reward-level annotations to calculate reward functions, as discussed in (Rieser et al., 2005) We furthermore aim to learn more refined clarification...
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Báo cáo khoa học:

Báo cáo khoa học: "Using Machine Learning to Maintain Rule-based Named-Entity Recognition and Classification Systems" pdf

... alternative use of machine learning in named-entity recognition and classification Instead of constructing an autonomous NERC system, the system constructed with the use of machine learning assists ... regarding mainly the classification grammar In fact, some of our classification rules were found to be too general, leading to wrong classifications For example, according to one of the rules, ... appears inside another NE in the text Controlling a Rule-based System Using Machine Learning Machine learning has been used successfully to control a rule-based system that performs a different task,...
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