Titlebook: Knowledge Management and Acquisition for Intelligent Systems; 15th Pacific Rim Kno Kenichi Yoshida,Maria Lee Conference proceedings 2018 Sp

或者發(fā)神韻

Weiqi Li,Jianming Wang,Shengbei Wang,Guanghao Jines being considered for large scale CO. injection for sequestration. A comprehensive modeling method that adequately preserves point bar internal architecture and its associated heterogeneities is still not available. Traditional geostatistical methods cannot adequately capture the curvilinear archi

外星人

ADJ

Building a Commonsense Knowledge Base for a Collaborative Storytelling Agent,d storytelling entertaining as they learn about their world and even share their own stories. Virtual agents are gaining popularity as conversational agents who can engage with their human users in a dialogue to answer queries and to find the necessary support in the performance of some tasks in a p

GULP

A Knowledge Acquisition Method for Event Extraction and Coding Based on Deep Patterns,ent type and annotated with entities from a domain specific ontology for future retrieval and analysis. The problem is dynamic in nature, characterised by new or changing groups and targets, and the emergence of new types of events. A number of automated event extraction systems exist that detect th

微枝末節(jié)

Incremental Acquisition of Values to Deal with Cybersecurity Ethical Dilemmas,sible options. The choice made will often depend on the values held by the organisation and/or the individual/s making the decisions. To address the issue of how to capture ethical dilemmas and the values associated with the choices they raise, we propose the use of the Ripple Down Rules (RDR) incre

哀求

Alpha-Cells

Supporting Relevance Feedback with Concept Learning for Semantic Information Retrieval in Large OWLhe concept learning in OWL knowledge base to deal with feedback in interactive information retrieval system. The feedback from the initial search results is considered as examples, and then the inductive concept learning technique is employed to generate a concept that describes the user’s requireme

onlooker

,Combining Concept Learning and Probabilistic Information Retrieval Model to Understand User’s Searc. Employing concept learning method and probabilistic information retrieval model, this paper proposes an exploratory information retrieval strategy that can explain user’s search intent in a formal way. User’s relevance feedback from the initial search results are considered as examples and the use

Detoxification

Diabetic Retinopathy Classification Using C4.5,ening over a large population. The presence of Microaneurysms (MAs) in a retinal image is the earliest sign of DR. This paper presents an efficient method to automatically detect MAs in a retinal image. The method is based on an advanced wavelet transform and the C4.5 algorithm (a categorization alg

facetious

Stock Price Movement Prediction from Financial News with Deep Learning and Knowledge Graph Embeddinon is becoming a hot area. In this paper, we propose to incorporate a joint model using the TransE model for representation learning and a Convolutional Neural Network (CNN), which extracts features from financial news articles. This joint learning can improve the accuracy of text feature extraction