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» Decision Making Using Probabilistic Inference Methods
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KDD
2008
ACM
159views Data Mining» more  KDD 2008»
15 years 10 months ago
Semi-supervised learning with data calibration for long-term time series forecasting
Many time series prediction methods have focused on single step or short term prediction problems due to the inherent difficulty in controlling the propagation of errors from one ...
Haibin Cheng, Pang-Ning Tan
AES
2008
Springer
97views Cryptology» more  AES 2008»
14 years 9 months ago
Software mechanisms for extensible and scalable 3D visualization of construction operations
This paper presents research that led to the design and implementation of an extensible and scalable software framework for the dynamic 3D visualization of simulated construction ...
Vineet R. Kamat, Julio C. Martínez
BROADNETS
2004
IEEE
15 years 1 months ago
Efficient QoS Provisioning for Adaptive Multimedia in Mobile Communication Networks by Reinforcement Learning
The scarcity and large fluctuations of link bandwidth in wireless networks have motivated the development of adaptive multimedia services in mobile communication networks, where i...
Fei Yu, Vincent W. S. Wong, Victor C. M. Leung
SIGMETRICS
2010
ACM
195views Hardware» more  SIGMETRICS 2010»
15 years 1 months ago
CWS: a model-driven scheduling policy for correlated workloads
We define CWS, a non-preemptive scheduling policy for workloads with correlated job sizes. CWS tackles the scheduling problem by inferring the expected sizes of upcoming jobs bas...
Giuliano Casale, Ningfang Mi, Evgenia Smirni
MICCAI
2006
Springer
15 years 10 months ago
Spinal Crawlers: Deformable Organisms for Spinal Cord Segmentation and Analysis
Spinal cord analysis is an important problem relating to the study of various neurological diseases. We present a novel approach to spinal cord segmentation in magnetic resonance i...
Chris McIntosh, Ghassan Hamarneh