Data Sets for Selection and Training
Unsupervised feature selection for large data sets
... Feature selection is certainly one of the main areas of re- search in machine learning, however, most of the work focuses on supervised methods (see for instance (Guyon and Elisseeff, 2003; Chandrashekar and ...
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Data point selection for self training
... new training in- stances on the basis of similarity helps mostly for smaller data sets, while for the larger training sets there does not seem to be a significant difference be- tween ...
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Data selection based on decision tree for SVM classification on large data sets
... of data mining, pattern recognition and machine learning communities in the last ...its training phase ...the data sets are huge because the amount of time and mem- ory invested is between O(n ...
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Reinforced Training Data Selection for Domain Adaptation
... instance selection, which can be observed from the slightly weaker re- sults on E LECTRONICS domain in sentiment analy- sis as well as the fact that our approach is outper- formed by training on all source ...
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Effective Selection of Translation Model Training Data
... for training effective translation ...model training in the domain of inter- ...named Data Selec- tion. Current data selection methods mostly use language models trained on small scale ...
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Intelligent Selection of Language Model Training Data
... model training data to build auxiliary language models for use in tasks such as machine transla- ...less data, than both random data selection and two other previously proposed ...
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Training Data Sets Construction from Large Data Set for PCB Character Recognition
... quality data sets with balanced class labels, while training on bad and imbalanced data set have been providing great challenges for classification ...of data analysis-based data ...
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Entropy based Training Data Selection for Domain Adaptation
... BSTRACT Training data selection is a common method for domain adaptation, the goal of which is to choose a subset of training data that works well for a given test ...for ...
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Decision Trees For Training Data Sets Containing Numerical Attributes With Measurement Errors
... preserving data privacy sometimes training data sets are modified or injected certain error values into the values of attributes in the training data sets in a systematic ...
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Core Vector Machines: Fast SVM Training on Very Large Data Sets
... to data-intensive appli- cations involving very large data ...large data sets, the number of support vectors may still be too large for real-time ...the training patterns are currently ...
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Testing for Cointegrating Rank via Model Selection: Evidence from 165 Data Sets
... model selection approach and the published ones, we also conducted cointegration tests conditioning on the lag orders chosen in the original ...for data sets with small ...
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Denoising Neural Machine Translation Training with Trusted Data and Online Data Selection
... x% selection subset. Going from right to left, data indeed becomes cleaner as selection becomes tighter for the scoring models in our proposed method: WMT is noise scoring models trained on WMT ...
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Improving Hyperspectral Pixel Classification With Unsupervised Training Data Selection
... unsupervised training data selection Olga Rajadell, Pedro Garc´ıa-Sevilla, Viet Cuong Dinh and Robert ...selecting training data is suggested ...The data set is reduced using an ...
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Threshold Selection Study on Fisher Discriminant Analysis Used in Exon Prediction for Unbalanced Data Sets
... positive data set and the negative data set are of the same size if the number of the data is big ...the data are not sufficient or not equal, the threshold used in FDA may have important ...
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Selection of Variables that Influence Drug Injection in Prison: Comparison of Methods with Multiple Imputed Data Sets
... missing data was generated at 20%, and 50%. Missing data were imputed 10 ...variable selection algorithms (S1, S2, and S3) as ...imputed data set, only variables which retained significance at ...
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Judicious Selection of Training Data in Assisting Language for Multilingual Neural NER
... jointly training a neural network for multiple ...gent training instances in the assisting ...our data selection strategy improves NER per- formance in many languages, including those with ...
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Combining instance selection and self-training to improve data stream quantification
... instance selection techniques for each quantification method ns not significant We plan to investigate, as future work, different man- ners to look for events in each pool when true labels are required, for ...
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Training Data Selection and Update Strategies for Airborne Post-Doppler STAP
... radar data is an established and powerful method for detecting ground moving targets, as well as for estimating their geographical positions and line-of-sight ...automatic selection of the training ...
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III. DATA SETS. Training the Matching Model
... the training set for our learning algorithms through crowdsourcing tools and illustrate their potential for business research, and (2) the success of our model allows one to easily use corporate home pages as ...
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Fuzzy-Pattern-Classifier Training with Small Data Sets
... little data is available for training a knowledge-based ...automatically training the knowledge-representing membership functions of a Fuzzy-Pattern-Classification system that works also when only ...
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