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查看斯高帕斯 (Scopus) 概要
陳 柏安
教授
資訊管理研究所
h-index
h10-index
h5-index
243
引文
7
h-指數
按照存儲在普爾（Pure）的出版物數量及斯高帕斯（Scopus）引文計算。
33
引文
3
h-指數
按照存儲在普爾（Pure）的出版物數量及斯高帕斯（Scopus）引文計算。
2
引文
1
h-指數
按照存儲在普爾（Pure）的出版物數量及斯高帕斯（Scopus）引文計算。
2005
2024
每年研究成果
概覽
指紋
網路
計畫
(14)
研究成果
(44)
獎項
(11)
活動
(4)
指紋
查看啟用 Po-An Chen 的研究主題。這些主題標籤來自此人的作品。共同形成了獨特的指紋。
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重量
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Keyphrases
Actual Play
19%
Alternating Algorithm
32%
Altruism
50%
Altruistic Behavior
28%
Arrow-Debreu Markets
32%
Atomic Congestion Games
64%
Bandit Algorithms
22%
Bandit Models
19%
Budget-constrained
48%
Competitive Firm
32%
Congestion Games
68%
Convergence Results
20%
Convergence to Equilibrium
24%
Cost-sharing Games
28%
Demand Curve
32%
Demand Function
32%
Extended Abstracts
24%
Gradient Ascent
24%
Individual Cost
16%
Learning Algorithm
24%
Learning Demand
32%
Letting
24%
Limited Budget
19%
Linear Programming
56%
Market Equilibrium
32%
Maximization Problem
36%
Minimization Problem
24%
Mirror Descent
64%
Mirror Descent Algorithm
38%
Multi-agent Learning
56%
Multi-battle Contest
32%
Multiplicative Updates
20%
Nash Equilibrium
35%
No-regret Algorithms
46%
Nonconvex Potential
32%
Opinion Formation Games
40%
Opinion Maximization
36%
Outcome Quality
19%
Price Experimentation
32%
Price of Anarchy
100%
Pricing Algorithm
32%
Regret Bounds
18%
Rounding Algorithm
24%
Selling Price
32%
Social Cost
28%
Social Networks
42%
Stackelberg Game
32%
Systems Theory
16%
Vaccination
32%
Zero-sum
24%
Computer Science
Approximation Algorithms
8%
Assignment Problem
16%
Bayesian Model
8%
bidding strategy
16%
bipartite matching
8%
Bulletin Board
8%
Continuous Time
16%
Convex Combination
32%
Directed Graphs
24%
discrete-time
16%
Distributed System
16%
Economic Network
8%
Election System
8%
Electronic Learning
16%
Essential Property
32%
Estimation Error
16%
Experimental Result
16%
Gradient Descent
19%
Information Model
16%
Learning Algorithm
16%
Learning Problem
16%
Learning System
16%
Linear Combination
8%
Linear Program
16%
Load Balancing
16%
Machine Learning
16%
Mathematical Convergence
11%
multi-agent
16%
Multiplicative Update
74%
Nash Equilibrium
80%
Network Topology
8%
NP-completeness
8%
Online Auctions
16%
Opinion Formation
16%
Optimization Problem
8%
Optimization Technique
16%
Outcome Quality
8%
Positive Constant
8%
Potential Candidate
8%
Potential Function
32%
Quality of Service
8%
Routing Traffic
16%
Searching Algorithm
16%
Singletons
16%
Social Network
24%
Solution Concept
16%
Solution Quality
8%
Speed-up
16%
Strategy Profile
15%
Update Algorithm
48%
