First, an adaptive feature extraction approach based on sparse representation is applied to extract the target features from the measured radar echo waveforms, the target feature set is constructed by sparse coefficients that contain most target information.
It performs an effective feature extraction approach based on norm entropy in order to obtain the features represented main frequency, harmonic and transient characteristics of the fault signals.
We then used an information extraction approach based on dependency parsing (de Marneffe et al., 2006) and support vector machines (SVM) (Joachims, 1999) to build a disease-specific gene-interaction network.
In another study, a set of 100 molecular biology articles was annotated with phenotypic information in a semi-supervised manner, and then used to evaluate a hybrid phenotype extraction approach based on dictionary and ML techniques [ 35].
Approaches based on direct extraction and linear regression are briefly reviewed, followed by reformulating the task as an unconstrained optimization problem.
For the RE task for IE, different approaches were developed: supervised learning techniques employing an annotated corpus; unsupervised approaches based on generic extraction patterns; semi-supervised methods including bootstrapping that needs only a few annotated examples and also the Open IE approach for the extraction of relations not previously defined.
Approaches based on connected-component extraction, object merging, clustering are not explored here, because they require too intensive calculations with regard to the aimed architecture.
However, all the above hypothesis generation approaches based on semantic information and association rules utilize the semantic extraction tool, SemRep system.
