semi-supervised approach
A Graph Based Semi Supervised Approach for Analysis of Derivational Nouns in Sanskrit
... Derivational nouns are widely used in San- skrit corpora and is a prevalent means of productivity in the language. Cur- rently there exists no analyser that iden- tifies the derivational nouns. We pro- pose a semi ...
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A Semi Supervised Approach for Catchphrase Classification in Legal Text Documents
... a semi supervised approach is presented to extract catchphrases from software license agreement and provide meanings to minimize the understanding complexity for a ...proposed approach for ...
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Image Binarization Using Multi-Layer Perceptron: A Semi-Supervised Approach
... learning semi-supervised approach has a great ...this approach we can tackle the real world problems where the efficiency of the machine increases progressively as it adapts to the ...using ...
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Published Date Extraction System A semi-supervised approach of extraction
... extensive approach for PDF document along with the extraction of published date for blogs, websites, books which were not available ...Our approach is scalable and ...Our approach is mostly a mixture ...
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A Semi Supervised Approach for Gender Identification
... a Semi-Supervised Learning variant of the k nearest neighbors algorithm that uses small sets of labeled data and a larger amount of unlabeled data to classify the authors of texts by gender (man vs ...
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Learning Digital Geographies through a Graph-Based Semi-supervised Approach
... However, places do not merely exist in space, but they are “specific time-space con- figurations made up of the intersection of many encounters between ‘actants’ (people and things)” [3]. In fact, our experiments ...
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A Semi-supervised Approach for Generating a Table-of-Contents
... two-stage semi-supervised learning model ...a supervised learning model. The key of our approach is the way of integrating the word cluster- ing information into the learning ...
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A Semi supervised Approach for Natural Language Call Routing
... A significant part of the database (about 27%) consists of utterances from the “garbage” class (_TE_NOMATCH). Our proposed approach de- composes the routing task into two steps. On the first step we divide the ...
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EMDC: A Semi supervised Approach for Word Alignment
... rithm falls back to conventional EM, and when all the alignments are known, the algorithm becomes fully supervised. And if the alignment quality can be improved if high-precision partial align- ment links is given ...
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Graph Based Semi Supervised Learning Approach for Tamil POS tagging
... based semi-supervised learning (SSL) has gained traction in Natural Language Processing tasks such as ques- tion answering (Celikyilmaz et ...graph-based semi- supervised approach to ...
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Generating and Validating DSA Private Keys from Online Face Images for Digital Signatures
... novel approach is proposed to extract the private component of the key used to produce the digital signature from online face ...a semi-supervised approach, so that, the values used for the ...
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Domain Adaptation by Constraining Inter Domain Variability of Latent Feature Representation
... this semi-supervised approach in the domain-adaptation setting is that some of the latent variables will cor- respond to clusters of features specific only to the source domain, and consequently, the ...
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AUTOMATIC INFORMATION EXTRACTION FROM TEXT
... the semi- supervised machine learning ...a semi-supervised approach of the machine for the network traffic classification has been executed ...
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Semi Supervised Active Learning for Sequence Labeling
... fully supervised AL ...fully supervised approach to AL for sequence labeling is introduced and complemented by our semi-supervised approach in Section ...and ...
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Semi Supervised Structured Output Learning Based on a Hybrid Generative and Discriminative Approach
... a semi-supervised SOL framework based on a hybrid generative and discriminative ...hybrid approach was first proposed in a super- vised learning setting (Raina et ...a semi-supervised ...
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A Semi-supervised Learning Approach to Arabic Named Entity Recognition
... Unlike supervised learning, which may require additional examples in the training data for new categories of NE, our semi-supervised approach used the ANERcorp training data without any ad- ...
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Ensembled Semi Supervised Clustering Approach for High Dimensional Data
... clustering approach termed as ensemble clustering using factor graph ...our approach is also efficient for processing ensembles with large data sizes, large ensemble sizes and large dimensional ...
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Semi-Supervised Novelty Detection
... The idea of reducing LPUE to a binary classification problem has also been treated by Zhang and Lee (2005), Liu et al. (2002), Lee and Liu (2003) and Liu et al. (2003). Most notably, Liu et al. (2002) provide sample ...
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Enhanced Semi-Supervised Clustering
... Unsupervised, semi supervised, supervised ...of supervised clustering data points are not known but total supervision is required for clustering of data points ....In semi ...
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Semi-Supervised Template Attack
... state-of-the-art approach of TA assumes that during the profiling step the attacker can fully control (change the plaintext and the key) a copy of a device he wants to ...
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