Training Data

Some articles on data, training data, training:

Multivariate Adaptive Regression Splines - The Model Building Process - Generalized Cross Validation (GCV)
... (We want to estimate how well a model performs on new data, not on the training data ... Such new data is usually not available at the time of model building, so instead we use GCV to estimate what performance would be on new data ... The raw residual sum-of-squares (RSS) on the training data is inadequate for comparing models, because the RSS always increases as MARS terms are dropped ...
Pattern Theory - Statistics - Conditional Probability For Hidden-observed States - Bayes Theorem For Machine Translation
... Given a French-English translation from a large training data set (such data sets exists from the Canadian parliament), NULL And the program has been implemented Le programme a ... Our training data corpus will contain two-sentence pairs bc → xy and b → y ... With real data, EM also is subject to the usual local extremum traps ...
Lazy Learning
... method in which generalization beyond the training data is delayed until a query is made to the system, as opposed to in eager learning, where the system tries to ... the large space requirement to store the entire training dataset ... Particularly noisy training data increases the case base unnecessarily, because no abstraction is made during the training phase ...
Automatic Summarization - Applications - Keyphrase Extraction - Unsupervised Keyphrase Extraction: TextRank
... rules for what features characterize a keyphrase, they also require a large amount of training data ... Furthermore, training on a specific domain tends to customize the extraction process to that domain, so the resulting classifier is not necessarily portable, as some of Turney's results demonstrate ... Unsupervised keyphrase extraction removes the need for training data ...
Test Set - Rationale
... The data used to construct or discover a predictive relationship are called the training data set ... Most approaches that search through training data for empirical relationships tend to overfit the data, meaning that they can identify apparent relationships in the training data that do not hold in general ... A test set is a set of data that is independent of the training data, but that follows the same probability distribution as the training data ...

Famous quotes containing the words data and/or training:

    This city is neither a jungle nor the moon.... In long shot: a cosmic smudge, a conglomerate of bleeding energies. Close up, it is a fairly legible printed circuit, a transistorized labyrinth of beastly tracks, a data bank for asthmatic voice-prints.
    Susan Sontag (b. 1933)

    ... the time will come when no servant will be hired without a diploma from some training school, and a girl will as much expect to fit herself for house-maid or cook, as for dressmaker or any trade.
    Lydia Hoyt Farmer (1842–1903)