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ICML
2008
IEEE
14 years 11 months ago
On the quantitative analysis of deep belief networks
Deep Belief Networks (DBN's) are generative models that contain many layers of hidden variables. Efficient greedy algorithms for learning and approximate inference have allow...
Ruslan Salakhutdinov, Iain Murray
ARTMED
2006
158views more  ARTMED 2006»
13 years 10 months ago
CareVis: Integrated visualization of computerized protocols and temporal patient data
Objective: Currently, visualization support for patient data analysis is mostly limited to the representation of directly measured data. Contextual information on performed treatm...
Wolfgang Aigner, Silvia Miksch

Publication
200views
15 years 8 months ago
Dynamic Queue Control Functions for ATM ABR Switch Schemes: Design and Analysis
The main goals of a switch scheme are high utilization, low queuing delay and fairness. To achieve high utilization the switch scheme can maintain non-zero (small) queues in steady...
Bobby Vandalore, Raj Jain, Rohit Goyal, Sonia Fahm...
NIPS
2001
13 years 11 months ago
Model Based Population Tracking and Automatic Detection of Distribution Changes
Probabilistic mixture models are used for a broad range of data analysis tasks such as clustering, classification, predictive modeling, etc. Due to their inherent probabilistic na...
Igor V. Cadez, Paul S. Bradley
EDBT
2009
ACM
166views Database» more  EDBT 2009»
14 years 2 months ago
Neighbor-based pattern detection for windows over streaming data
The discovery of complex patterns such as clusters, outliers, and associations from huge volumes of streaming data has been recognized as critical for many domains. However, patte...
Di Yang, Elke A. Rundensteiner, Matthew O. Ward