Statistical implicative rating based recommendation using non-binary data

Mã QR

Statistical implicative rating based recommendation using non-binary data

Đã lưu trong:

Bibliografiske detaljer
Sprog:	vie
Online adgang:	https://dlib.udn.vn/module/chi-tiet-sach?RecordID=9714
Tags:	Tilføj Tag Ingen Tags, Vær først til at tagge denne postø!

Thư viện lưu trữ:	Trung tâm Công nghệ thông tin và Học liệu số, Đại học Đà Nẵng

Lignende værker

Recommender System Based on Statistical Implicative Analysis
af: Phan Quốc Nghĩa

Formalized data snooping based on generalized error rates /
af: Romano, Joseph P.

Statistical analysis of randomized experiments with non-ignorable missing binary outcomes : An application to a voting experiment /
af: Imai, Kosuke.

Dye-developer interactions in the crystal violet lactone-lauryl gallate binary system : Implications for thermochromism /
af: MacLaren, Douglas C.

Evaluation of user-based algorithms used in the recommendation system
af: Lê, Văn Thịnh
Udgivet: (2023)

A Web-Based Recommender System using Semantic Web and Linked Data for Suggesting Supervisors to Postgraduate Research Students

Performance of parallel analysis in retrieving unidimensionality in the presence of binary data /
af: Tran, Ulrich S.

Recommendations on tourism statistics
Udgivet: (1994)

NVR-BIP : Nuclear vector replacement using binary integer programming for NMR structure-based assignments /

Statistical implicative analysis :
Udgivet: (2008)

Statistical Implicative Analysis
af: Gras, Régis, et al.
Udgivet: (2020)

PERIOCULAR RECOGNITION BASED ON LOCAL BINARY PATTERN FOR INFRARED IMAGES
af: Mai, Lam
Udgivet: (2018)

Using Stochastic Gradient Descent On Parallel Recommender System with Stream Data
af: Nguyen, Si Thin, et al.
Udgivet: (2023)

A non-contact wrist-based heart rate measurement method

Trade Balance and Exchange Rate in Thailand & the Implications for Vietnam: An Application using Instrumental Variable and the Heterogeneous Panel Cointegration Methods
af: Vo, The Anh, et al.
Udgivet: (2023)

Statistical methods for rates and proportions
af: Joseph L. Fleiss
Udgivet: (2003)

Base-rate neglect as a function of base rates in probabilistic contingency learning /

A Study on Parallel Recommender System with Stream Data Using Stochastic Gradient Descent
af: Nguyen, Si Thin, et al.
Udgivet: (2024)

From agronomic data to farmer recommendations :
Udgivet: (1988)

An Approach Based on Deep Learning that Recommends Fertilizers and Pesticides for Agriculture Recommendation
af: Nguyen, Ha Huy Cuong, et al.
Udgivet: (2023)

Missing data in a stochastic Dollo model for binary trait data, and its application to the dating of Proto-Indo-European /
af: Ryder, Robin J.

An Introduction to Binary Arithmetic
af: International Computers Limited
Udgivet: (1975)

Magnetohydrodynamics in Binary Stars
af: Campbell, C. G.
Udgivet: (2020)

Business statistics in practice : using modeling, data, and analytics
af: Bowerman,Bruce L
Udgivet: (2017)

Experimental data analysis - An algorithm for determining rates and smoothing data /
af: Klasson, K. Thomas.

A content-boosted collaborative filtering approach for movie recommendation based on local and global similarity and missing data prediction /
af: Ozbal, Gozde.

Binary Code Fingerprinting for Cybersecurity
af: Alrabaee, Saed, et al.
Udgivet: (2020)

Item-based collaborative filtering recommendation model based on similarity matrix of items

Prediction of vapor-liquibria for binary mixtures using Ab initio calculations and activity coefficient models /
af: Pham Van Tat.

Prediction of vapor-liquid equilibria of binary mixtures using quantum calculations and activity coefficient models /
af: Pham Van Tat.

Position control for interior permanent magnet synchronous motors using an adaptive integral binary observer /
af: Dang, Hyoung-Seok.

A RECOMMENDER SYSTEM BASED ON ONE-CLASS CLASSIFICATION
af: Dang, Nhan Cach, et al.
Udgivet: (2024)

Building A Content-Based Movie Recommendation System
af: Huynh, Tuan Kiet
Udgivet: (2025)

Building Diet suggestion application based on Recommendation System
af: Tran, Thi Thanh Xuan
Udgivet: (2024)

An effective method for clustering-based web service recommendation
af: Nguyen, Ha Huy Cuong, et al.
Udgivet: (2022)

A novel frustrated phase produced by a binary system of non-symmetric dimeric liquid crystals /

Prediction of vapor - Liquid equilibria for binary mixtures using ab Initio calculations and activity coefficient models
af: Phạm, Văn Tất, et al.
Udgivet: (2010)

Project Website Fashion using Recommender System
af: Luong, Thi Uyen Nhi
Udgivet: (2023)

Building an Smart Learning Application with AI-Based Recommendation System
af: Nguyen, Thanh Nhat, et al.
Udgivet: (2025)

Reactive multi-agent model for collaborative filtering - Based recommender systems