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AAMAS
2002
Springer
15 years 6 months ago
Cooperative Learning Using Advice Exchange
Abstract. One of the main questions concerning learning in a Multi-Agent System's environment is: "(How) can agents benefit from mutual interaction during the learning pr...
Luís Nunes, Eugenio Oliveira
CE
2007
116views more  CE 2007»
15 years 6 months ago
The design of instructional multimedia in e-Learning: A Media Richness Theory-based approach
The rapid development of computer and Internet technologies has made e-Learning become an important learning method. There has been a considerable increase in the needs for multim...
Pei-Chen Sun, Hsing Kenny Cheng
ML
1998
ACM
117views Machine Learning» more  ML 1998»
15 years 6 months ago
Learning Team Strategies: Soccer Case Studies
We use simulated soccer to study multiagent learning. Each team's players (agents) share action set and policy, but may behave di erently due to position-dependent inputs. All...
Rafal Salustowicz, Marco Wiering, Jürgen Schm...
TKDE
2010
137views more  TKDE 2010»
15 years 5 months ago
A Survey on Transfer Learning
—A major assumption in many machine learning and data mining algorithms is that the training and future data must be in the same feature space and have the same distribution. How...
Sinno Jialin Pan, Qiang Yang
ICDM
2010
IEEE
187views Data Mining» more  ICDM 2010»
15 years 4 months ago
Financial Forecasting with Gompertz Multiple Kernel Learning
Financial forecasting is the basis for budgeting activities and estimating future financing needs. Applying machine learning and data mining models to financial forecasting is both...
Han Qin, Dejing Dou, Yue Fang