large training data sets
Training Data Sets Construction from Large Data Set for PCB Character Recognition
... Printed circuits board (PCB) is one of the key concepts in electronics used in different fields of industry. Usually, pattern recognition [1] and computer vision [2] algorithms are used to read and identify characters ...
10
Joint Feature Selection in Distributed Stochastic Learning for Large Scale Discriminative Training in SMT
... for joint feature selection on the shards after each epoch, before starting a new epoch with a reduced feature vector averaged across shards. Iterative fea- ture selection procedure is the key to both efficiency and ...
11
Bayesian system identification of dynamical systems using large sets of training data: A MCMC solution
... as training data is still ...additional data was being ...as data is added. Fig. 5 shows how, as training data is annealed in, the well-known negative correlation between the ...
10
Log Linear Model for String Transformation Using Large Data Sets
... The overview of our method is shown in Fig. 3. There are two processes, they are learning and generation. In the learning process, rules are first extracted from training pairs of string. Then the model of string ...
9
Time series clustering in large data sets
... The objective of the presented paper is to compare clustering results made with diff erent parameters of feature vectors and the SOM itself. We are describing time series in a simplistic way evaluating stan- dard ...
6
A System for Multilingual Sentiment Learning On Large Data Sets
... a data set that is substantially larger than that typically encountered in the ...this data set, we wrote custom crawlers, and mined various web sites for reviews of products and ...disjoint training ...
16
Precision-Recall versus Accuracy and the Role of Large Data Sets
... imbalanced data. In the first experiment, all data sets were stratified into ten ...selected data in one fold as small training set, eight folds as large training set, and ...
10
Visualization of Diversity in Large Multivariate Data Sets
... The Diversity Map representation, like many others, requires initial training for users to be effective in reading the visualization. Indeed, many pilot users of the visualization found the representation counter- ...
10
Jointly Modeling Aspects and Opinions with a MaxEnt LDA Hybrid
... of training sentences needed is relatively small. Moreover, training data can also come from a differ- ent domain and yet still remain effective, making our model highly domain ...on large ...
10
Training and Testing Low-degree Polynomial Data Mappings via Linear SVM
... forming data to a high dimensional space, but training and testing large data sets is often time ...larger data sets using linear SVM without ...mapped data and ...
20
Large SMT data sets extracted from Wikipedia
... We want to mention that it is not the case that our extracted Wikipedia data is the maximally MT useful data. First of all, LEXACC may be improved in many ways, which is a matter for future developments. ...
8
Transliteration Mining Using Large Training and Test Sets
... For large comparable texts, we use contextual clues, namely translations of neighboring words, to constrain TM and to preserve ...a large training set, and introduces modifications to graph ...
10
Core Vector Machines: Fast SVM Training on Very Large Data Sets
... to data-intensive appli- cations involving very large data ...on large data sets, the number of support vectors may still be too large for real-time ...the training ...
30
Comments on the "Core Vector Machines: Fast SVM Training on Very Large Data Sets"
... a large number of iterations and slows down the training ...with large C values (and this idea is often extended to SVM independently of the solver, which is a wrong ...SimpleSVM’s training ...
11
Data Augmentation for Morphological Reinflection
... feature sets, the test data may contain a large amount of morphological feature sets which were unseen in the low training data spanning 100 ex- ...feature sets as atomic ...
10
Scalable Learning of Bayesian Network Classifiers
... full data. For very large datasets we could potentially utilize a random sample for the first pass of our algorithm, which only needs to estimate the parameters for three-way interactions between each pair ...
35
Using the Amazon Compute Cloud to Analyze Large Data Sets
... • Only allow instances to be passed a single number (the event code) • Nodes only let single number.. through the firewall.[r] ...
52
Managing Large Data Sets Using Support Vector Machines
... of data using a collection of commodity servers working in parallel ...of data in parallel on large clusters of compute nodes ...store data on the compute ...CMS Data is stored using ...
93
Systematic Integration of Large Data Sets for Improved Decision-Making
... lightning data has been used in [53, ...lightning data and transient measurements to evaluate the impact on insulation ...station data for insulation coordination have been described in ...weather ...
107
Privacy Preserving Data Analytics using Cryptographic Technique for Large Data Sets
... the data. The issue arises in our work is the big data which is of large volume, variety and ...The data which is generated in a large amount is called Big ...Big data cannot be ...
6