Sentence examples for classification knowledge from inspiring English sources

These algorithms are batch supervised learning algorithms and represent induced classification knowledge as feature intervals.

We propose a novel strategy called comparative gene family classification, which takes advantage of the existing gene family classification knowledge by automatically calibrating program parameters on reference gene families from well-studied species to classify genes of the same families in related, newly sequenced species.

Since science was equated with wisdom, Avicenna attempted a broad unified classification of knowledge.

His philosophical tract De rationali et de ratione uti ("Concerning the Rational and the Use of Reason") emphasized problems of definition and classification of knowledge.

Reflecting Dr. Adler's Aristotelian and Thomist bent, it was divided into an introductory volume, called a Propaedia, that set forth a classification of knowledge, a 10-volume ready-reference dictionary, called a Micropedia, and a 19-volume Macropedia filled with longer essays on major subjects.

For example, content-based classification and knowledge mining are suitable venues for the proposed framework, as are those in which the quality and description power of the applied features play an essential role.

The attempt in this paper to automate the whole process not only helps create final patent maps for topic analyses, but also facilitates or improves other patent analysis tasks such as patent classification, organization, knowledge sharing, and prior art searches.

The first algorithm adopts a semi-supervised approach to sentiment classification, combining knowledge of the sentiment polarity for a few documents and a small lexicon of words with information present in a corpus of unlabeled documents; note that such unlabeled data are readily obtainable in online applications.

The label that we all strive for (Graduate student, Dr., etc). is just a random classification of "knowledge" we should not strive to protect.

Tseng et al. [ 34] described and evaluated several text mining techniques to create patent maps and improve patent analysis tasks such as classification and knowledge sharing.

The name provides a handle on the biological organism and the position in the classification provides knowledge of the organism in terms of its similarity to others [ 10].