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Prediction and Discovery

Improving Automated Literature-based Discovery with Neural Networks: Neural biomedical Named Entity Recognition, Link Prediction and Discovery

Improving Automated Literature-based Discovery with Neural Networks: Neural biomedical Named Entity Recognition, Link Prediction and Discovery

... link prediction applications usually need to perform well across a wide cross-section of nodes as opposed to performing very well on few nodes which are hubs in the graph and are thus easy to perform well ...link ...

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3. Prediction, Forecasting, and Chance Discovery

3. Prediction, Forecasting, and Chance Discovery

... that prediction and forecasting had considered as ...and discovery, emphasis on rare events , and emphasis on human and com- puter ...Conventional prediction and forecasting methods presume that a ...
Structure Prediction Drives Materials Discovery

Structure Prediction Drives Materials Discovery

... The discovery of graphene, with its remarkable physical properties and poten- tial applications ranging from reinforcing structural materials to novel electronics, has initiated tremendous efforts on 2D materials ...

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Scientific Discovery as Link Prediction in Influence and Citation Graphs

Scientific Discovery as Link Prediction in Influence and Citation Graphs

... link prediction method that operates over two graphs: a graph of influence relations that were automatically extracted from over 100K pa- pers on children’s health using a machine reading tool, and which summarize ...

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Prediction of breast cancer survival through knowledge discovery in databases

Prediction of breast cancer survival through knowledge discovery in databases

... develop prediction models for survival by the medical research ...knowledge discovery in databases (KDD) to predict the outcome of a ...the prediction of breast cancer ...to prediction of ...

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Imbalanced target prediction with pattern discovery on clinical data repositories

Imbalanced target prediction with pattern discovery on clinical data repositories

... pattern discovery algorithm where an optimization criterion is employed for prediction targets that are rare but of clinical importance, such as cardiac ...pattern discovery with the above ...

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Imputation versus prediction: applications in machine learning for drug discovery

Imputation versus prediction: applications in machine learning for drug discovery

... drug discovery, the combination of chemist and computational algorithm will enhance productivity, taking the burden of routine and intensive tasks away from the expert leaving them more freedom to be creative and ...

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Vulnerability Prediction Capability: A Comparison between Vulnerability Discovery Models and Neural Network Models

Vulnerability Prediction Capability: A Comparison between Vulnerability Discovery Models and Neural Network Models

... between prediction capabilities of the NNMs versus VDMs, specifically for the two software that we found considerable ...vulnerability discovery within their mathematical ...for prediction time ...

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Reduct Algorithm Based Execution Times Prediction in Knowledge Discovery Cloud Computing Environment

Reduct Algorithm Based Execution Times Prediction in Knowledge Discovery Cloud Computing Environment

... knowledge discovery application running in cloud environment as well as a holistic approach to predict the application execution ...knowledge discovery services in the cloud computing environment for ...

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The jPREdictor and its application to motif discovery, motif clustering and the prediction of Polycomb/Trithorax response elements

The jPREdictor and its application to motif discovery, motif clustering and the prediction of Polycomb/Trithorax response elements

... the discovery of interactions hints at the regulation of nearby genes by this ...the prediction of other similar regulatory ...the prediction of ...

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Kalman prediction based neighbor discovery and its effect on routing protocol in vehicular ad hoc networks

Kalman prediction based neighbor discovery and its effect on routing protocol in vehicular ad hoc networks

... mobility prediction based on Kalman filter theory and hello messaging, to both reduce the routing overhead and improve the neighbor discovery ...the prediction error is too big, a hello message ...

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Assessing the Performances of Protein Function Prediction Algorithms from the Perspectives of Identification Accuracy and False Discovery Rate

Assessing the Performances of Protein Function Prediction Algorithms from the Perspectives of Identification Accuracy and False Discovery Rate

... false discovery rate have not yet been assessed so far, which greatly limits the usage of these prediction ...functional prediction algorithms (BLAST, SVM, PNN and KNN) was ...false discovery ...

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Variant effect prediction tools assessed using independent, functional assay-based datasets: implications for discovery and diagnostics

Variant effect prediction tools assessed using independent, functional assay-based datasets: implications for discovery and diagnostics

... Conclusions Our findings, consistent with those of Grimm et al. [20], in- dicate that the accuracies of contemporary variant effect prediction tools are likely to be considerably lower than re- ported in their ...

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An Online Classification and Prediction Hybrid System for Knowledge Discovery in Databases

An Online Classification and Prediction Hybrid System for Knowledge Discovery in Databases

... These have the advantage of forming high quality results due to the inclusion of expert knowledge. The problem, however, is that they do not allow for autonomous knowledge discovery. Therefore, such systems will ...

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A Tight Prediction Interval for False Discovery Proportion under Dependence

A Tight Prediction Interval for False Discovery Proportion under Dependence

... upper prediction interval for the ...formula-based prediction interval is easy to evaluate even when testing a vast number of hypotheses where no other methods are computationally ...formula-based ...

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Visual sentiment prediction based on automatic discovery of affective regions

Visual sentiment prediction based on automatic discovery of affective regions

... integrated prediction. With max pooling, the high prediction scores from those candidates containing sentiment are preserved and the noisy ones are ...

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Knowledge Discovery and Diseases Prediction: A Comparative Study of Machine Learning Techniques

Knowledge Discovery and Diseases Prediction: A Comparative Study of Machine Learning Techniques

... * Corresponding author email address: [email protected] Abstract The use of medical datasets has attracted the attention of researchers worldwide. Data mining techniques have been widely used in developing ...

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Rapid, precise and reproducible binding affinity prediction: applications in drug discovery

Rapid, precise and reproducible binding affinity prediction: applications in drug discovery

... ESMACS and TIES have shown promise as tools to expedite the hit-to-lead and lead optimisation stages of drug discovery programmes and can also impact the clinical setting as decision-support tools. The protocols ...

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Multi-target Prediction Methods for Bioinformatics: Approaches for Protein Function Prediction and Candidate Discovery for Gene Regulatory Network Expansion

Multi-target Prediction Methods for Bioinformatics: Approaches for Protein Function Prediction and Candidate Discovery for Gene Regulatory Network Expansion

... An extensive experimental evaluation over the Yeast genome shows the poten- tial of the approach. Yeast was chosen as a reference genome because of the large amount of functional and interaction annotation available. Our ...

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Automating Knowledge Discovery for Toxicity Prediction Using Jumping Emerging Pattern Mining

Automating Knowledge Discovery for Toxicity Prediction Using Jumping Emerging Pattern Mining

... Within chemistry, Auer and Bajorath 10 have applied emerging pattern mining to the prediction of biological activity based on physicochemical and molecular properties. Continuous value descriptors were discretized ...

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