[PDF] Top 20 Question Classification using Multiple Classifiers
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Question Classification using Multiple Classifiers
... The paper combines statistic and rule classifiers, specifically statistics preceding regulation, to classify questions. With rule classifier as supplementary to statistic, the advantages of respective classifier ... See full document
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An Empirical Study of Combing Multiple Models in Bengali Question Classification
... of multiple classifiers to produce a single classifier (Breiman, 1996; Clemen, 1989; Perrone, 1993; Wolpert, ...individual classifiers mak- ing up the ...in question classification ... See full document
5
On the use of text classification methods for text summarisation
... text classification in that the classes assigned to text documents can be viewed as an indication (summarisation) of the main ideas of the original free text but in a coherent and reduced ...assign multiple ... See full document
238
MoL 2003 06: Definitional Question Answering Using Trainable Classifiers
... both classifiers is the free structure of a web page and the building of the training ...toy classification task, showed a great improvement indeed but also exposed the fact that the training sets are too ... See full document
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Exploiting historical registers: Automatic methods for coding c19th and c20th cause of death descriptions to standard classifications
... of multiple machine learning ...popular classification from the resulting five ...learning classifiers, in a similar style to experiment ...core classifiers, plus SGD with pre-processing. The ... See full document
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Multiple Classifiers System for Medical Diagnosis
... in Classification Tree ) in the market, but the main problem is not a single machine learning algorithm has all the expected features for the medical diagnosis ... See full document
6
Building a Question Classification Model for a Malay Question Answering System
... Three classifiers are implemented for our Malay questions classification task using three different machine learning classification algorithms, namely Naïve Bayes, Random Forest and Support ... See full document
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Identification of Genia Events using Multiple Classifiers
... Classification of relations is based on SVM with a polynomial kernel, using LibSVM (Chang and Lin, 2011), and is carried out in three stages. The first covers the core event, which consists of a trig- ger ... See full document
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An Approach Towards E-Learning Using SVM Classification Technique and Ranking Technique in Microblog Supported Classroom: A Survey
... relevant question that is categorized into ...the multiple courses offered by a teacher in an effective way and also main concept of each classified question should get tagged to find answer easily, ... See full document
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Using Hybrid and Diversity Based Adaptive Ensemble Method for Binary Classification
... solve classification problems, a classifier is learnt by an algorithm, so that a hypothesis can be proposed based on the classifier that best fits the given train- ing ...class. Using different single ... See full document
32
Multi-Label Classification for Fault Diagnosis of Rotating Electrical Machines
... Keywords: multiple fault detection; rotating electrical machines; drive systems; multi-label 20.. classification; machine learning; fault severity; fault classifiers 21.[r] ... See full document
17
Polarity Classification of Short Product Reviews via Multiple Cluster-based SVM Classifiers
... polarity classification without paraphrase ...Finally, using opinion paraphrase generation results in consistent increasing of performance for the two datasets in use, showing in a sense opinion ... See full document
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Advances in classification of EEG signals via evolving fuzzy classifiers and dependant multiple HMMs
... The overall HMM based experimental procedure is shown in Figure 5.1 and involves the network training/design and system classification performance evaluation processes for the conventional IM-HMM-D structure and ... See full document
30
Classification of Brain Tumor Grades using Neural Network
... to multiple layer network and non- linear differentiable transfer function is implemented with learning rate ...all classifiers, achieved for each specific dataset, were calculated under the same validation ... See full document
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An Evolutionary Approach To Cascade Multiple Classifiers: A Case-Study To Analyze Textual Content Of Medical Records And Identify Potential Diagnosis
... With a flexible mathematical structure and an architecture loosely based on the biological neural system, an Artificial Neural Network (ANN) model is capable of describing complex nonlinear relations between input and ... See full document
9
Learning Question Classifiers
... the classification. Our hi- erarchical classifier is trained and tested using one of the six feature sets defined in ...a question into fine classes ... See full document
7
Multiple Kernel based KNN Classifiers for Vehicle Classification
... by using multiple kernel ...proposed classification algorithm will be very efficient in classifying different classes or types of vehicle for each of the test data ...the classification method ... See full document
7
A REVIEW ON DIMENSIONALITY REDUCTION USING COPULA APPROACH IN DATA MINING
... the classification performance, requires huge memory, and consumes more computational ...data classification using a comparative study of four different classifiers, multiple linear ... See full document
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Efficient Heterogeneous Multi-relational Classification Using Multi-criteria Ranking Approach Based on Characteristics of Multiple Relations
... traditional classification technique such as J48, Naïve Bayes often suffers from poor scalability and unsatisfactory predictive performance when it comes to working with relational ...relational ... See full document
9
Hand Gesture Classification Using Different Classifiers With Weka
... found using WEKA's Simple K ...when multiple CPU cores are ...processed using the unsupervised Nominal To Binary filter and missing values are replaced globally using Replace Missing ... See full document
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