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ICASSP
2011
IEEE
14 years 10 months ago
Improving kernel-energy trade-offs for machine learning in implantable and wearable biomedical applications
Emerging biomedical sensors and stimulators offer unprecedented modalities for delivering therapy and acquiring physiological signals (e.g., deep brain stimulators). Exploiting th...
Kyong-Ho Lee, Sun-Yuan Kung, Naveen Verma
BMCBI
2007
158views more  BMCBI 2007»
15 years 6 months ago
Penalized likelihood for sparse contingency tables with an application to full-length cDNA libraries
Background: The joint analysis of several categorical variables is a common task in many areas of biology, and is becoming central to systems biology investigations whose goal is ...
Corinne Dahinden, Giovanni Parmigiani, Mark C. Eme...
NETWORKING
2008
15 years 8 months ago
On the Applicability of Knowledge Based NAT-Traversal for Home Networks
The presence of Network Address Translation (NAT) is a hindrance when accessing services within home networks, because NAT breaks the end-to-end connectivity model of the Internet ...
Andreas Müller, Andreas Klenk, Georg Carle
SIGIR
2008
ACM
15 years 6 months ago
Learning from labeled features using generalized expectation criteria
It is difficult to apply machine learning to new domains because often we lack labeled problem instances. In this paper, we provide a solution to this problem that leverages domai...
Gregory Druck, Gideon S. Mann, Andrew McCallum
SC
2005
ACM
16 years 10 days ago
Cross-Platform Performance Prediction of Parallel Applications Using Partial Execution
Performance prediction across platforms is increasingly important as developers can choose from a wide range of execution platforms. The main challenge remains to perform accurate...
Leo T. Yang, Xiaosong Ma, Frank Mueller