training set
Optimizing Training Set Construction for Video Semantic Classification
... for training set construction and training; the second part contains the remaining 3500 shots, which are used for ...the training set using all rules we proposed above, the comparisons ...
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Effect of the Classifier Training Set Size on Accuracy of Pattern Recognition
... of training set in the classifiers, after eliminating dots, shape of some characters become similar form, for example, the characters Ba'a ب, Ta'a ت, and Tha'a ث have the same shape after eliminating the ...
8
Unsupervised Training Set Generation for Automatic Acquisition of Technical Terminology in Patents
... Once the bFRTCs have been identified, there is a simple way to further increase the size of the training data: we add all extended FRTCs (eFRTCs) to the training set, where we define an eFRTC as a ...
11
Empirical Study of Training-Set Creation for Software Architecture Traceability Methods
... In the research community, there is an ongoing debate regarding research techniques developed, based on, or examined using student-generated datasets. One aspect of this debate is the need for using various techniques ...
61
Analysis of feature training set for improving classification accuracy
... Another post-processing done to improve the classification accuracy is majority voting. It uses current and previous 8 classification results contained in 256 ms with a window increment of 32 ms and makes decision based ...
5
Gesture recognition in streaming motion data using offline training with a limited training set
... As explained in chapter 1 we have started with a small exploratory experiment and came to the conclusion that it is very hard to get a good dataset from a highly ecologically valid experiment. Because of this, for our ...
52
Using the Web as an Implicit Training Set: Application to Structural Ambiguity Resolution
... step towards logical form derivation. Their algo- rithm uses POS tagging, syntactic parses, semantic senses of the nouns (manually annotated), lookups in a semantic network (WordNet) and the type of the coordination ...
8
A Study of Quality Issues for Image Auto Annotation with the Corel Data Set
... Image set is widely used for image annotation performance evaluation although it has been claimed that Corel images are relatively easy to ...Corel set for effective auto-annotation ...Corel set and ...
5
A COMPARATIVE GROUP QSAR AND MOLECULAR DOCKING STUDIES OF 4 THIAZOLIDINONE CONTAINING INDOLIN 2 ONE MOIETY AS VGEFR INHIBITORS
... remained and their contribution to activity variation was evaluated. Sphere exclusion algorithms with a dissimilarity value of +0.5 resulted in a reasonable rational division of the data into a training set ...
10
Simple yet Effective Bridge Reasoning for Open Domain Multi Hop Question Answering
... same set of training questions for training the bridge reasoner and the target pas- sage reader, there will be a discrepancy between the training and evaluation of QA: at evaluation time, the ...
5
Discovery of Treatments from Text Corpora
... one set includes a treat- ment about military service but not legal training and another set includes a treatment about legal training but not military service, then model selec- tion is ...
10
Discovery and validation of potential drug targets based on the phylogenetic evolution of GPCRs
... Target identification is a critical step following the discovery of small molecules that elicit a biological phenotype. G-protein coupled recap- tors (GPCRs) are among the most important drug targets for the ...
44
The SAU Report for the 1st CIPS SIGHAN ParsEval 2010
... of training set and testing set in CS from Table 10, we find that Berkeley parser largely depends on training set compared with our ...
8
Comparative Study on Bio inspired Approach for Soil Classification
... the training set and the pheromone on the rule edges is updated based on the quality of the rule equation ...rule set, the covered cases in the training set by the rules are removed and ...
6
The Set Covering Machine
... the set covering machine (SCM) using the set of data-dependent balls with the nearest-neighbor classifier (NNC) and the support vec- tor machine (SVM) equipped with a Gaussian kernel (also called the Radial ...
24
Efficient Generation of Power In Medium Voltage Direct Current Systems: Variable Speed Operation and Rectifier Considerations
... model training times and the scalability that results from deconstructing the training data set into smaller, focused ...smaller training sets, a single model may be best rather than employing ...
105
High-performance on-road vehicle detection with non-biased cascade classifier by weight-balanced training
... the training set ...the training samples. By adjusting the initial weight of the training samples prior to training, the unbalance be- tween positive and negative samples in the ...
7
Word Sense Disambiguation Using Label Propagation Based Semi Supervised Learning
... We used three types of features to capture con- textual information: part-of-speech of neighboring words with position information, unordered sin- gle words in topical context, and local collocations (as same as the ...
8
A Family of Additive Online Algorithms for Category Ranking
... the training set sizes is given in ...its training. (The behavior of the algorithms when training and testing with different ranking-losses was found to be ...the training set ...
34
Application of Monte Carlo Algorithm to Explore Simplified Molecular Input Line Entry System based Molecular Descriptors of BACE1 inhibitors for Therapeutic Application in Alzheimer’s Disease
... molecules outside the training set. Statistical parameters obtained from the both models also explained that cyclic rings were crucial of the BACE1 inhihibitors for the potential inhibition of BACE1 enzyme. ...
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