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» Predicting Time Series with Support Vector Machines
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115
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NIPS
2001
15 years 5 months ago
A Parallel Mixture of SVMs for Very Large Scale Problems
Support Vector Machines (SVMs) are currently the state-of-the-art models for many classication problems but they suer from the complexity of their training algorithm which is at l...
Ronan Collobert, Samy Bengio, Yoshua Bengio
137
Voted
MLMI
2007
Springer
15 years 9 months ago
Frequency Domain Linear Prediction for QMF Sub-bands and Applications to Audio Coding
Abstract. This paper proposes an analysis technique for wide-band audio applications based on the predictability of the temporal evolution of Quadrature Mirror Filter (QMF) sub-ban...
Petr Motlícek, Sriram Ganapathy, Hynek Herm...
145
Voted
ICDM
2010
IEEE
99views Data Mining» more  ICDM 2010»
15 years 1 months ago
A System for Mining Temporal Physiological Data Streams for Advanced Prognostic Decision Support
We present a mining system that can predict the future health status of the patient using the temporal trajectories of health status of a set of similar patients. The main noveltie...
Jimeng Sun, Daby Sow, Jianying Hu, Shahram Ebadoll...
RTAS
2007
IEEE
15 years 10 months ago
Hijack: Taking Control of COTS Systems for Real-Time User-Level Services
This paper focuses on a technique to empower commercial-off-the-shelf (COTS) systems with an execution environment, and corresponding services, to support realtime and embedded ap...
Gabriel Parmer, Richard West
130
Voted
HASE
2008
IEEE
15 years 4 months ago
HyperMIP: Hypervisor Controlled Mobile IP for Virtual Machine Live Migration across Networks
Live migration provides transparent load-balancing and fault-tolerant mechanism for applications. When a Virtual Machine migrates among hosts residing in two networks, the network...
Qin Li, Jinpeng Huai, Jianxin Li, Tianyu Wo, Minxi...