training instances
Classifying Unstructured Text Using Structured Training Instances and an Ensemble of Classifiers
... Reflecting on the related work, it becomes obvious that even though this research draws upon the ideas and findings of the existing literature, it cannot be directly compared with any of them. This work discusses how to ...
16
Topic Tracking using Subject Templates and Clustering Positive Training Instances
... ????????? ?? ?? ???????????????????????????????! "???$#%??&?? '???(?)??* +,&????? '?$ ?????/ 0???'?? '??12? ?3 ??)?????????546???? '? ???!??? 7?8?9; =@@@8?J;8 7?8?[.] ...
5
Train and Test Tightness of LP Relaxations in Structured Prediction
... relaxed training objective, and likewise the exact-hinge is correlated with the exact objective (left and middle, ...relaxed training, the relaxed-hinge and the exact-hinge are very close (left, top), so ...
34
Deep word embeddings for visual speech recognition
... or training examples per word (between 800 and 1000), high speaker and pose variability, non-laboratory recording conditions (excerpts from BBC-TV) and target words that are part of segments of continuous speech ...
5
Sparse Classifier Design Based on the Shapley Value
... the training instances and their selection in each itera- tion (relevant vector selection ) is based on the Shapley value of the corresponding training ...called training instances, ...
6
The Hybrid Dynamic Prototype Construction and Parameter Optimization with Genetic Algorithm for Support Vector Machine
... noisy instances in a classification ...essential training instances extraction, input features selection, and SVM parameters setting as mentioned ...
13
Cross View Retrieval via Probability Based Semantics Preserving Hashing
... For training, SePH firstly transforms the given semantic affinities of training instances into a probability distribution P and aims to approx- imate it in Hamming ...the training ...
15
Improving Temporal Relation Extraction with Training Instance Augmentation
... temporal training instances by semantically expanding gold medical events based on a clinical ontology, the Unified Medical Lan- guage System (UMLS) (Lindberg et ...
6
End to End Feature Aware Label Space Encoding for Multilabel Classification With Many Classes
... Abstract—To make the problem of multi-label classification with many classes more tractable, in recent years academia has seen efforts devoted to performing label space dimension reduction (LSDR). Specifically, LSDR ...
20
On the Need of Cross Validation for Discourse Relation Classification
... of training instances is limited and only from a single ...additional training data from unannotated data, selecting instances based on two criteria (the degree to which a con- nective can ...
7
Resource Lean Modeling of Coherence in Commonsense Stories
... negative training items), totaling approx. 200k training instances, over 30 iterations and 35 epochs with pretraining and a mini batch size of ...
6
Cooperative Learning and Its Application to Emotion Recognition From Speech
... that instances predicted with insufficient confidence value are subject to human labeling, and those with high confidence values are machine ...supervised training instances and two different feature ...
21
Instances and concepts in distributional space
... between instances and their con- cept is overall less predictable than the relation- ship between hyponyms and ...of instances to be more “crisp”, or idiosyncratic, in their proper- ties than concepts ...
7
ENGINEER: Evaluation and analysis of the project impact
... The target for the ENGINEER project for the outreach and museum work was for it to be implemented in 660 schools having trained 1,000 teachers and for 27,000 children to have completed at least one unit. The table above ...
50
an apprenticeship of childhood: first instances
... reforçam a idéia das etapas ou ciclos de vida, bem como as diferentes formas de interação social na aprendizagem de acordo com as diferentes idades de vida, mesmo que sejam confrontadas [r] ...
10
Arabic Named Entity Recognition: Using Features Extracted from Noisy Data
... works, they augment training data from parallel data for training supervised systems. In (Diab, 2004), the author uses projections from English into Arabic to bootstrap a sense tagging system for Arabic as ...
5
Identifying Risk Factors For Heart Disease in Electronic Medical Records: A Deep Learning Approach
... independent training and testing sessions with different weight initialisation (drawn from the uniform distribution), the test yielded a statistically significant difference between the ...
10
One for All: Towards Language Independent Named Entity Linking
... The training dataset, WikiTrain, consists of 10,000 random Wikipedia pages, where all of the phrases that link to other Wikipedia articles are treated as mentions, and the target Wikipedia page is the ...
10
The effectiveness of a flood protection computer game for disaster education
... laughter, and screaming are valuable references for the motivators of hope and pleasure; the four stages approach can be used to analyze and evaluate the players’ ability in the game; the observation of learning focus ...
13