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ICML
2010
IEEE
15 years 4 months ago
Internal Rewards Mitigate Agent Boundedness
Abstract--Reinforcement learning (RL) research typically develops algorithms for helping an RL agent best achieve its goals-however they came to be defined--while ignoring the rela...
Jonathan Sorg, Satinder P. Singh, Richard Lewis
CIKM
2009
Springer
15 years 9 months ago
MRM: an adaptive framework for XML searching
In order to deal with the diversified nature of XML documents as well as individual user preferences, we propose a novel Multiodel (MRM), which is able to abstract a spectrum of i...
Ho Lam Lau, Wilfred Ng
DATE
2008
IEEE
136views Hardware» more  DATE 2008»
15 years 9 months ago
A Framework of Stochastic Power Management Using Hidden Markov Model
- The effectiveness of stochastic power management relies on the accurate system and workload model and effective policy optimization. Workload modeling is a machine learning proce...
Ying Tan, Qinru Qiu
NOSSDAV
2010
Springer
15 years 8 months ago
TSync: a new synchronization framework for multi-site 3D tele-immersion
Synchronization is a challenge in the multi-site 3D teleimmersion (3DTI) because it is complicated by the coexistence of highly correlated heterogenous streams from multiple sourc...
Zixia Huang, Wanmin Wu, Klara Nahrstedt, Md. Ahsan...
KDD
2001
ACM
226views Data Mining» more  KDD 2001»
15 years 7 months ago
Image Mining: Issues, Frameworks and Techniques
Advances in image acquisition and storage technology have led to tremendous growth in significantly large and detailed image databases. These images, if analyzed, can reveal usefu...
Ji Zhang, Wynne Hsu, Mong-Li Lee