摘要:
An improved system and method is provided for feature selection for text classification using subspace sampling. A text classifier generator may be provided for selecting a small set of features using subspace sampling from the corpus of training data to train a text classifier for using the small set of features for classification of texts. To select the small set of features, a subspace of features from the corpus of training data may be randomly sampled according to a probability distribution over the set of features where a probability may be assigned to each of the features that is proportional to the square of the Euclidean norms of the rows of left singular vectors of a matrix of the features representing the corpus of training texts. The small set of features may classify texts using only the relevant features among a very large number of training features.
摘要:
An improved system and method is provided for feature selection for text classification using subspace sampling. A text classifier generator may be provided for selecting a small set of features using subspace sampling from the corpus of training data to train a text classifier for using the small set of features for classification of texts. To select the small set of features, a subspace of features from the corpus of training data may be randomly sampled according to a probability distribution over the set of features where a probability may be assigned to each of the features that is proportional to the square of the Euclidean norms of the rows of left singular vectors of a matrix of the features representing the corpus of training texts. The small set of features may classify texts using only the relevant features among a very large number of training features.
摘要:
A video editing system and method using machine learning are described. In one embodiment, the video editing system comprises editing processing logic controllable to perform at least one edit on one or more raw input feeds to render one or more final cut clips for viewing, each edit to transform data from one or more of the raw input feeds into the one or more of the plurality of final cut clips by generating tags that identify highlights from signals and a machine learning module operable to access data from memory and operable to generate settings to control the editing processing logic based on the data using one or more machine learning algorithms to control the editing processing logic.