We deal with embedding a large scale knowledge graph composed of entities and relations into a continuous vector space. TransE is a promising method proposed recently, which is very efficient while achieving state-of-the-art predictive performance. We discuss some mapping properties of relations which should be considered in embedding, such as reflexive, one-to-many, many-to-one, and many-to-ma...

This paper presents a novel algorithm to spot a known video sequence within a live video stream. The algorithm is split into two branches, a branch to create a digital signature out of the video sequence in question, and another is to search for this sequence within a live video stream. The algorithm is categorized to consume low processing power and satisfy real-time requirements. Thus, this a...

We show that generalized median stable matchings exist in many-to-many matching markets when contracts are strong substitutes and satisfy the law of aggregate demand.

This paper proposes a novel noise-aware character alignment method for bootstrapping statistical machine transliteration from automatically extracted phrase pairs. The model is an extension of a Bayesian many-to-many alignment method for distinguishing nontransliteration (noise) parts in phrase pairs. It worked effectively in the experiments of bootstrapping Japanese-to-English statistical mach...

BACKGROUND AND AIM The prevalence of the hepatitis B virus (HBV) is higher in adults than in children. We determined the seroepidemiology of HBV infection in an adult population in JiLin, China, to guide effective preventive measures. METHODS A cross-sectional serosurvey was conducted throughout JiLin, China. A total of 3833 people was selected and demographic and behavioral information gathe...

Even though tree-based reliable multicast protocols are known to be most scalable for one-to-many sessions, there is still an open question whether these protocols are also scalable for many-to-many sessions. We analyze and compare two promising multicast protocols-the receiver-initiated protocol with NACK suppression and the tree-based protocol-using a new spatial loss model. The proposed mode...

Multiplayer perceptrons or feed-forward networks are generally trained to represent functions or many-to-one (m-o) mappings. This creates a problem if the training data exhibits the property of many-to-many or almost many-many valued-ness because the model, which generated the data, was many-to-many. Therefore in this paper a modified feed-forward network and training algorithm is considered to...

An overlooked problem in Learning From Demonstration is the ambiguity that arises, for instance, when the robot is equipped with more sensors than necessary for a certain task. Simply trying to repeat all aspects of a demonstration is seldom what the human teacher wants, and without additional information, it is hard for the robot to know which features are relevant and which should be ignored....

The Covid-19 pandemic has caused an economic recession in many countries around the world. economy contracted with reduced customer demand due to policy of large-scale social applications Indonesia. This study aims analyze consumer preferences from demand-side side several industrial sectors affected by so that business players can develop strategies during and post-Covid-19. research was carri...

DEFINITION As stated in the entry “Publish/Subscribe over Streams”, publish/subscribe (pub/sub) is a many-to-many communication model that directs the flow of messages from senders to receivers based on receivers’ data interests. In this model, publishers (i.e., senders) generate messages without knowing their receivers; subscribers (who are potential receivers) express their data interests, an...