Titlebook: Intelligent Information and Database Systems; 10th Asian Conferenc Ngoc Thanh Nguyen,Duong Hung Hoang,Bogdan Trawińsk Conference proceeding

小天使

書(shū)目名稱Intelligent Information and Database Systems影響因子(影響力)




書(shū)目名稱Intelligent Information and Database Systems影響因子(影響力)學(xué)科排名




書(shū)目名稱Intelligent Information and Database Systems網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱Intelligent Information and Database Systems網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱Intelligent Information and Database Systems被引頻次




書(shū)目名稱Intelligent Information and Database Systems被引頻次學(xué)科排名




書(shū)目名稱Intelligent Information and Database Systems年度引用




書(shū)目名稱Intelligent Information and Database Systems年度引用學(xué)科排名




書(shū)目名稱Intelligent Information and Database Systems讀者反饋




書(shū)目名稱Intelligent Information and Database Systems讀者反饋學(xué)科排名

shrill

Abominate

Lecture Notes in Computer Sciencehttp://image.papertrans.cn/i/image/469760.jpg

Engaged

誘惑

https://doi.org/10.1007/978-3-319-75417-8artificial intelligence; classification; cloud computing; computer networks; computer vision; control met

KIN

Solving Query-Answering Problems with Constraints for Function Variablesace of clauses by introducing constraints and invent three ET rules for simplifying problem descriptions by using interaction between clauses and constraints. This extension provides a general solution for a larger class of QA problems.

prediabetes

A Memory-Efficient Algorithm with Level-Order Unary Degree Sequence for Forward Reasoning?Enginesluation of the algorithm. The algorithm uses level-order unary degree sequence (LOUDS) that is a kind of succinct data structures and is used to represent tree structures concisely. By using LOUDS to construct trie in FreeEnCal, we can improve memory-efficiency of FreeEnCal.

Frequency-Range

canonical

Conversation Strategy of a Chatbot for Interactive Recommendationst uses a graphical user interface (GUI) and apply approaches proposed in the field of recommendation systems. Preliminary experiment results with a prototype indicate the potential of our proposed approach.

Subjugate

Aspect-Based Sentiment Analysis of Vietnamese Texts with Deep Learningiments on this dataset show that BRNN-CRF architecture achieves a satisfied performance, outperforms CRF with hand-designed features. In addition, our framework requires no feature engineering efforts as well as linguistic resources, allows us to adapt to other languages easily.