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» Learning from Highly Structured Data by Decomposition
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BMCBI
2010
118views more  BMCBI 2010»
14 years 10 months ago
Computing H/D-Exchange rates of single residues from data of proteolytic fragments
Background: Protein conformation and protein/protein interaction can be elucidated by solution-phase Hydrogen/ Deuterium exchange (sHDX) coupled to high-resolution mass analysis o...
Ernst Althaus, Stefan Canzar, Carsten Ehrler, Mark...
BMCBI
2008
117views more  BMCBI 2008»
14 years 10 months ago
A probabilistic framework to predict protein function from interaction data integrated with semantic knowledge
Background: The functional characterization of newly discovered proteins has been a challenge in the post-genomic era. Protein-protein interactions provide insights into the funct...
Young-Rae Cho, Lei Shi, Murali Ramanathan, Aidong ...
RTCSA
1999
IEEE
15 years 2 months ago
A Method to Improve the Estimated Worst-Case Performance of Data Caching
This paper presents a method for tight prediction of worst-case performance of data caches in highperformance real-time systems. Our approach is to distinguish between data struct...
Thomas Lundqvist, Per Stenström
NIPS
2007
14 years 11 months ago
Modeling Natural Sounds with Modulation Cascade Processes
Natural sounds are structured on many time-scales. A typical segment of speech, for example, contains features that span four orders of magnitude: Sentences (∼1 s); phonemes (âˆ...
Richard Turner, Maneesh Sahani
KDD
2009
ACM
210views Data Mining» more  KDD 2009»
15 years 10 months ago
Large-scale behavioral targeting
Behavioral targeting (BT) leverages historical user behavior to select the ads most relevant to users to display. The state-of-the-art of BT derives a linear Poisson regression mo...
Ye Chen, Dmitry Pavlov, John F. Canny