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» Scalable, updatable predictive models for sequence data
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94
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ICSE
2008
IEEE-ACM
16 years 19 days ago
Performance modeling for service oriented architectures
We present a tool for performance modeling of Service Oriented Architectures (SOAs). As mission-critical use of whole-ofgovernment SOAs become pervasive, the capability to model a...
Paul Brebner
88
Voted
NIPS
2007
15 years 2 months ago
Near-Maximum Entropy Models for Binary Neural Representations of Natural Images
Maximum entropy analysis of binary variables provides an elegant way for studying the role of pairwise correlations in neural populations. Unfortunately, these approaches suffer f...
Matthias Bethge, Philipp Berens
BMCBI
2006
108views more  BMCBI 2006»
15 years 18 days ago
Gene function classification using Bayesian models with hierarchy-based priors
We investigate the application of hierarchical classification schemes to the annotation of gene function based on several characteristics of protein sequences including phylogenic ...
Babak Shahbaba, Radford M. Neal
103
Voted
AAAI
2007
15 years 2 months ago
A Randomized String Kernel and Its Application to RNA Interference
String kernels directly model sequence similarities without the necessity of extracting numerical features in a vector space. Since they better capture complex traits in the seque...
Shibin Qiu, Terran Lane, Ljubomir J. Buturovic
94
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PKDD
2010
Springer
169views Data Mining» more  PKDD 2010»
14 years 10 months ago
Efficient and Numerically Stable Sparse Learning
We consider the problem of numerical stability and model density growth when training a sparse linear model from massive data. We focus on scalable algorithms that optimize certain...
Sihong Xie, Wei Fan, Olivier Verscheure, Jiangtao ...