Phrase embedding learning from internal and external information based on autoencoder

Embedding with Autoencoder Regularization

The problem of embedding arises in many machine learning applications with the assumption that there may exist a small number of variabilities which can guarantee the “semantics” of the original highdimensional data. Most of the existing embedding algorithms perform to maintain the locality-preserving property. In this study, inspired by the remarkable success of representation learning and dee...

AAANE: Attention-based Adversarial Autoencoder for Multi-scale Network Embedding

Network embedding represents nodes in a continuous vector space and preserves structure information from the Network. Existing methods usually adopt a “one-size-fits-all” approach when concerning multi-scale structure information, such as firstand second-order proximity of nodes, ignoring the fact that different scales play different roles in the embedding learning. In this paper, we propose an...

Gating based on internal/external signals

Precise localization of mobile tumor positions in real time is critical to the success of gated radiotherapy. Tumor positions are usually derived from either internal or external surrogates. Fluoroscopic gating based on internal surrogates, such as implanted fiducial markers, is accurate however requiring a large amount of imaging dose. Gating based on external surrogates, such as patient abdom...

a head parameter survey on mazandarani dialect and its effect(s) on learning english from ca perspective (on the basis of x-bar syntax)1

there has been a gradual shift of focus from the study of rule systems, which have increasingly been regarded as impoverished, … to the study of systems of principles, which appear to occupy a much more central position in determining the character and variety of possible human languages. there is a set of absolute universals, notions and principles existing in ug which do not vary from one ...

Running Head: INTERNAL AND EXTERNAL SCRIPTS Internal and External Scripts in Computer-Supported Collaborative Inquiry Learning