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IEEEVAST
2010
13 years 2 months ago
Anomaly detection in GPS data based on visual analytics
Modern machine learning techniques provide robust approaches for data-driven modeling and critical information extraction, while human experts hold the advantage of possessing hig...
Zicheng Liao, Yizhou Yu, Baoquan Chen
RECOMB
2004
Springer
14 years 8 months ago
Computational identification of evolutionarily conserved exons
Phylogenetic hidden Markov models (phylo-HMMs) have recently been proposed as a means for addressing a multispecies version of the ab initio gene prediction problem. These models ...
Adam C. Siepel, David Haussler
VECPAR
2004
Springer
14 years 1 months ago
PerWiz: A What-If Prediction Tool for Tuning Message Passing Programs
Abstract. This paper presents PerWiz, a performance prediction tool for improving the performance of message passing programs. PerWiz focuses on locating where a significant impro...
Fumihiko Ino, Yuki Kanbe, Masao Okita, Kenichi Hag...
TPDS
2010
159views more  TPDS 2010»
13 years 6 months ago
Exploring In-Situ Sensing Irregularity in Wireless Sensor Networks
The circular sensing model has been widely used to estimate performance of sensing applications in existing analysis and simulations. While this model provides valuable high-level...
Joengmin Hwang, Tian He, Yongdae Kim
NIPS
1996
13 years 9 months ago
Multidimensional Triangulation and Interpolation for Reinforcement Learning
Dynamic Programming, Q-learning and other discrete Markov Decision Process solvers can be applied to continuous d-dimensional state-spaces by quantizing the state space into an arr...
Scott Davies