搜索结果: 1-15 共查到“信息与通信工程 Q-learning”相关记录41条 . 查询时间(0.234 秒)
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars:Distributed sequential federated learning
分布式 联合学习 数据分析
2023/11/7
![](http://www.firstlight.cn/upload/imgfile/20242/4/2024241534770.png)
美国奥本大学Shiwen Mao教授来南京邮电大学通信与信息工程学院作“Deep Learning for WiFi-based Indoor Fingerprinting”专题报告(图)
美国 奥本大学 Shiwen Mao 深度学习 模型 信号 无线电地图
2024/2/4
上海财经大学信息管理与工程学院数据挖掘课件 Learning from Data。
USE OF MULTIVARIATE MACHINE LEARNING ANALYSIS TECHNIQUES FOR FLOOD RISK PREVENTION
flood risk data Machine Learning Prediction
2018/5/8
Natural disasters such as flood are regarded to be caused by extreme weather conditions as well as changes in global and regional climate.
The prediction of flood incoming is a key factor to ensure c...
第一届国际自适应拍摄学习手势的理解和生产研讨会(First International Workshop on Adaptive Shot Learning for Gesture Understanding and Production)
第一届 国际 自适应拍摄 学习手势 理解 生产 研讨会
2017/5/22
In the aim of natural interaction with machines, a framework must be developed to include the adaptability humans portray to understand gestures from context, from a single observation or from multipl...
Fast-Convergent Learning-aided Control in Energy Harvesting Networks
Learning-aided Control Energy Harvesting Networks
2016/1/22
In this paper, we present a novel learning-aided energy management scheme (LEM) for multihop energy har-vesting networks. Different from prior works on this problem,our algorithm explicitly incorporat...
Building Roof Segmentation and Modeling from LIDAR Point Clouds Using Machine Learning Techniques
LiDAR Building Reconstruction Segmentation Feature Extraction Clustering Data mining
2015/12/4
This paper presents an approach to creating a polyhedral model of building roof from LiDAR point clouds using clustering techniques. A building point cloud is first separated into planar and breakline...
Successive pattern learning based on test feature classifier and its application to dynamic recognition problems
classifi cation test feature classifi er successive learning dynamic recognition problem
2015/8/25
Fundamental characteristics of successive lerarning by Test Feature Classifier(TFC), which is non-parametric and effective with small data, are examined. In the learning, a new set of training o...
PROBLEM BASED LEARNING IN SPATIAL INFORMATION SCIENCES – A CASE STUDY
Problem Based Learning constructivist methodology
2015/8/24
This paper describes the introduction, implementation and evaluation of a Problem Based Learning component in the Geodetic
Surveying syllabus of the fourth / final year of the honours degree program...
The Relationship between Iranian EFL High School Students’ Multiple Intelligence Scores and Their Use of Learning Strategies
Multiple intelligences theory Language learning strategies MI inventory
2015/7/21
According to the theory of multiple intelligences (MI) propounded by Gardner (1983, 1999a, 1999b), each individual has a multitude of intelligences that are quite independent of each other and each in...
TESTING MODELS OF SOCIAL LEARNING ON NETWORKS: EVIDENCE FROM A FRAMED FIELD EXPERIMENT
Networks Bayesian learning DeGroot learning
2015/7/15
Theory has focused on two leading models of social learning on networks:
Bayesian and DeGroot rules of thumb learning. These models can yield greatly divergent
behavior; individuals employing rules ...
COGNITIVE CONSTRAINTS ON USING COLLABORATIVE LEARNING PORTALS: INVESTIGATING THEIR EFFECTS IN ONCOURSE CL
Indiana University
2015/5/27
Collaborative learning portals help teachers and students attain educational
objectives (Ursula et al., 1997). They also reduce repeated requests for the same
information (Forbes-Pitt, 2002). An eff...
HAND-HELD COGNITION: DOES LEARNING SUFFER WHEN AN EXTERNAL REPRESENTATION INTERFACE STYLE IS USED?
information facilitates certain trials
2015/5/27
Previous research has shown that external representation of information facilitates cognitive processing by requiring less recall and reducing the need for working memory. The assumption is that all t...
IMPACT OF SOCIAL NETWORKING ON INFORMATION TECHNOLOGY SALES COLLABORATION & LEARNING
Collaboration and Learning Information Technology Sales Social Networking
2015/5/26
In recent years the advent of social networking has exploded across the Internet. Online communities such as LinkedIn.com and Facebook.com have captured the attention of millions. These environments a...
Online Non-Negative Convolutive Pattern Learning for Speech Signals
Non-negative matrix factorization convolutive NMF online pattern learning sparse coding speech processing speech recognition
2013/6/28
The unsupervised learning of spectro-temporal patterns within speech signals is of interest in a broad range of applications. Where patterns are non-negative and convolutive in nature, relevant learni...