Sentence examples for model learns an from inspiring English sources

In this paper, our proposed model learns an optimal weight for each view automatically without introducing an additive parameter as previous methods do.

Each time the model learns a word, it gives that word a series of geometric coordinates that correspond to a position in a many-dimensional constellation of words.

The model learns a mean-performance for the synchronized training set and its observed variance at each posture.

The model learns a hierarchy of local and global spectro-temporal attributes reminiscent of simultaneous and sequential Gestalt cues that underlie the organization of auditory scenes.

Our computational model learns a set of connections from ADRs to pathways consistent with the observed drug-ADR relations.

Simply put, overfitting occurs when the predictive model learns a pattern that is overly specific to the training data but not generalized enough to perform equally well on unseen data [ 95].

The observations associated with each moving human are used to recognize the performed activity by matching over a template of models learned a priori.

Discriminative models learn a decision rule (classifier) to assign BoW representation of images to different classes, including nearest-neighbor classifier, SVM, AdaBoost, and kernel methods such as pyramid match kernel.

TD models learn a value prediction from outcomes; we therefore tested whether the value prediction a TD model learned from an animal's dopamine responses would reflect the expected utility defined by the animal's choice behavior.

By using supervised learning, this model learns to control an anthropomorphic robot arm actuated by two antagonists McKibben artificial muscles.

The proposed model learns by finding a hypergraph structure with high discriminative capability at a specific cancer stage.