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» Learning from Highly Structured Data by Decomposition
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BMCBI
2010
118views more  BMCBI 2010»
15 years 4 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»
15 years 4 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 8 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
15 years 5 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»
16 years 4 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