training dataset
Japanese Sentence Compression with a Large Training Dataset
... large training dataset achieved higher F-measure than the unsupervised ...ing dataset, probably because it tends to gener- ate too short sentences, as indicated by low ...
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A new formula to determine the optimal dataset size for training neural networks
... best training dataset ...machine training time, however, the process time requires to reduce the dataset size is not consider in the overall ...the training dataset ...reducing ...
10
Toward better benchmarking: challenge based methods assessment in cancer genomics
... released) dataset are made pub- licly available according to a predefined ...a dataset provides increased user engagement based on continuous feedback; an opportunity for participants to refine and improve ...
10
A Review of Active Learning and Co Training in Text Classification
... the training dataset according to some (uni- form) ...the training dataset, with the distribu- tion weighted each time in order to focus on misclassified ...
39
EMO Player: Emotion based Music Player
... a training dataset, that is a set of examples used to fit the parameters ...the training dataset using a supervised learning method ...the training dataset often consist of pairs ...
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Fixed layer Convolutional Neural Network
... experimental setup needs to be explained. Figure 3 shows this setup. This network has the structure explained in section II- C; more specifically it is composed by four 2D-convolution, four max-pooling, one flatten and ...
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Fair Machine Learning
... the training and test set ...the dataset that are not the label(L) or the banned feature(B), that the following holds for feature X to be safe to use in the training ...
33
A Bayesian Network Model for Risk Management in Cyber Situation
... system dataset employs a relational database model where the first name on the stack of box represents the name of the table and the other fields represents the field names in the ...the training ...
8
Enhancing PIO Element Detection in Medical Text Using Contextualized Embedding
... a training dataset for PIO element detection with minimum redun- dancy and ambiguity and to investigate pos- sible options in utilizing state of the art em- bedding methods for the task of PIO element ...
6
Effects of Distance between Classes and Training Datasets Size to the Performance of XCS: Case of Imbalance Datasets
... The artificial datasets employed in the experiments have three major controlled parameters. The first one is distance between means of two classes in Gaussian distribution (dis), the second one is the training ...
6
Incorporating Rule based and Statistic based Techniques for Coreference Resolution
... Chinese training dataset show that 90% corefered mention pairs are in the distance of 10 ...English training dataset while the context window is set to 5 ...
6
A Density-based Clustering and Deep Learning Algorithm for Intrusion Detection in Sensor Networks
... given dataset into subsets depend on similarity features by core point”, as in ...in training dataset and testing dataset calculated by using closely reachable points and which is fed input to ...
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Towards developing a phonetically balanced code mixed speech corpus for Hindi English ASR
... The training dataset comprises of a combination of mono- lingual Hindi speech and a small portion of code-mixed ...speech.The training dataset com- prises of monolingual speech corpus ...
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Predictive models for diabetes mellitus using machine learning techniques
... The main contribution of our research study was pro- posing two predictive models using machine-learning techniques, Gradient Boosting Machine and Logistic Re- gression, in order to identify patients with high risk of ...
9
Learning to Explain: Answering Why Questions via Rephrasing
... Providing plausible responses to why ques- tions is a challenging but critical goal for lan- guage based human-machine interaction. Ex- planations are challenging in that they require many different forms of abstract ...
8
Detecting Lung Cancer from PET Images Using CNN
... genomic dataset from a NSCLC companion of 211 subjects. The dataset comprises of Computed Tomography (CT), Positron Emission Tomography (PET) ...Also, dataset consists of semantic annotations of the ...
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EARLY PREDICTION OF EMPLOYEE ATTRITION
... Abstract— Employees are the significant resources of any association. In any case, in the event that they quit job unexpectedly, it might bring about immense expense to any organization. Since new hiring will consume ...
6
Towards Automation of Sense type Identification of Verbs in OntoSenseNet
... for training the vector space model mainly consists of Telugu Wikipedia data along with some recent collections of various online Tel- ugu News, Books and Poems, that was created rel- atively recently (in the last ...
6
A novel bootstrapping method for positive datasets in cascades of boosted ensembles
... PSL training structures without a positive sample bootstrapping ...for training without any modification to them or additional synthetic data for fine tuning classifiers for accuracy on our test ...
8
Removing the Training Wheels: A Coreference Dataset that Entertains Humans and Challenges Computers
... coreference dataset, together with an annotation framework that can tag any text data with coreferences and named ...new dataset, motivating non-newswire data for future coreference ...
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