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ML
2002
ACM
154views Machine Learning» more  ML 2002»
15 years 3 months ago
Technical Update: Least-Squares Temporal Difference Learning
TD() is a popular family of algorithms for approximate policy evaluation in large MDPs. TD() works by incrementally updating the value function after each observed transition. It h...
Justin A. Boyan
BMCBI
2010
129views more  BMCBI 2010»
15 years 4 months ago
LAITOR - Literature Assistant for Identification of Terms co-Occurrences and Relationships
Background: Biological knowledge is represented in scientific literature that often describes the function of genes/ proteins (bioentities) in terms of their interactions (biointe...
Adriano Barbosa-Silva, Theodoros G. Soldatos, Ivan...
133
Voted
CHI
2008
ACM
16 years 4 months ago
Investigating statistical machine learning as a tool for software development
As statistical machine learning algorithms and techniques continue to mature, many researchers and developers see statistical machine learning not only as a topic of expert study,...
Kayur Patel, James Fogarty, James A. Landay, Bever...
131
Voted
ICYCS
2008
IEEE
15 years 10 months ago
VM-based Architecture for Network Monitoring and Analysis
A single physical machine provides multiple network monitoring and analysis services (e.g., IDS, QoS) which are installed on the same operating system. Isolation between services ...
Qiang Li, Qinfen Hao, Limin Xiao, Zhoujun Li
VEE
2009
ACM
157views Virtualization» more  VEE 2009»
15 years 10 months ago
Task-aware virtual machine scheduling for I/O performance
The use of virtualization is progressively accommodating diverse and unpredictable workloads as being adopted in virtual desktop and cloud computing environments. Since a virtual ...
Hwanju Kim, Hyeontaek Lim, Jinkyu Jeong, Heeseung ...