Sentence examples for in a learning algorithm from inspiring English sources
Since the search methods employed in a learning algorithm are relatively independent of the underlying uncertainty or imprecision calculus, we focus on evaluation measures (or scoring functions).
What these actions communicate is that DeepMind views people's medical histories merely as a bunch of data it wants to feed into a learning algorithm, in the same way as it used the old Go games for training the AlphaGo algorithm.
The approach presented in [15] automatically generates, via a learning algorithm, the assumptions that an environment needs to satisfy for some property to hold.
Statistical query (SQ) learning model of Kearns is a natural restriction of the PAC learning model in which a learning algorithm is allowed to obtain estimates of statistical properties of the examples but cannot see the examples themselves (Kearns, 1998 [29]).
Weights in a neural network are typically mutable, evolving in accord with a learning algorithm.
In phase two, a learning algorithm adapts the selected functionals to the numerical experiment under consideration by determining the free parameters of the functionals.
In this way a learning algorithm is obtained, which is able to optimize the control signal during normal operation, despite its complex and time-varying dynamic behavior, and without requiring long calibrations or complex models.
The aim is to improve a partial automation of the linkage decision process, involving the use of a training data set, in order to instruct a learning algorithm to classify data in link or non-link.
The desired motion is generated in an empirical learning process by a learning algorithm and an intelligent structure, in which the learning algorithm adjusts the coordination levels of some primitive motions in order to generate the desired motion.
We equip the CRs with a learning algorithm in order to bid more efficiently.
In this paper we present a learning algorithm for Type Extension Trees (TET) that discovers informative count-of-count features in the supervised learning setting.
