Sentence examples for retrieval and machine from inspiring English sources

(overline{F_{1}})  is an instance of a well-known F score performance measure in information retrieval and machine learning.

In addition, we employ a combination of information retrieval and machine learning techniques to link each new case to related documents that it may impact.

Considering areas of computational linguistics that can be interesting to statisticians, the authors describe three main aspects of computational linguistics: formal language, information retrieval, and machine learning.

The authors present common models for knowledge representation, addressing their statistical characteristics and providing an overview of information retrieval and machine learning methods related to computational linguistics.

The ability of each type of fingerprint to predict similarity between molecules was determined using logistic regression, receiver operating characteristic (ROC) curves, and a range of measures of predictive success taken from the information retrieval and machine learning literatures.

Learning to rank, a task to learn ranking functions to sort a set of entities using machine learning techniques, has recently attracted much interest in information retrieval and machine learning research.

Addressing the problem, during the past few years, researchers have attempted to use the techniques of information retrieval (IR) and machine learning for automatic GO annotation so as to accelerate the process.

The K-NN is essential for many applications such as information retrieval and visualization, machine learning and data mining.

Rajan also says that those at Yahoo Labs have used sizable datasets like this to work on large-scale machine learning problems that are inspired by consumer-facing products, in particular in areas like search ranking, computational advertising, information retrieval, and core machine learning.

After an analysis of a large collection of puzzles, we decided to use an open architecture in which independent programs specialize in solving specific types of clues, drawing on ideas from information retrieval, database search, and machine learning.

FunGramKB is a multilingual and multipurpose lexico-conceptual knowledge-base designed for its use in various tasks in Natural Language Processing (NLP), like information extraction and retrieval, machine translation or artificial reasoning (Periñán and Arcas, 2004; Mairal and Periñán, 2009; 2010).