Sciweavers

237 search results - page 13 / 48
» Dynamic data polyvariance using source-tagged classes
Sort
View
BMCBI
2011
12 years 11 months ago
Learning sparse models for a dynamic Bayesian network classifier of protein secondary structure
Background: Protein secondary structure prediction provides insight into protein function and is a valuable preliminary step for predicting the 3D structure of a protein. Dynamic ...
Zafer Aydin, Ajit Singh, Jeff Bilmes, William Staf...
SIGMETRICS
2009
ACM
131views Hardware» more  SIGMETRICS 2009»
14 years 2 months ago
Modeling channel popularity dynamics in a large IPTV system
Understanding the channel popularity or content popularity is an important step in the workload characterization for modern information distribution systems (e.g., World Wide Web,...
Tongqing Qiu, Zihui Ge, Seungjoon Lee, Jia Wang, Q...
ICML
2006
IEEE
14 years 8 months ago
Hidden process models
We introduce Hidden Process Models (HPMs), a class of probabilistic models for multivariate time series data. The design of HPMs has been motivated by the challenges of modeling h...
Rebecca Hutchinson, Tom M. Mitchell, Indrayana Rus...
MICRO
2003
IEEE
125views Hardware» more  MICRO 2003»
14 years 24 days ago
Runtime Power Monitoring in High-End Processors: Methodology and Empirical Data
With power dissipation becoming an increasingly vexing problem across many classes of computer systems, measuring power dissipation of real, running systems has become crucial for...
Canturk Isci, Margaret Martonosi
HICSS
2002
IEEE
119views Biometrics» more  HICSS 2002»
14 years 14 days ago
An Inverse-Quantile Function Approach for Modeling Electricity Price
We propose a class of alternative stochastic volatility models for electricity prices using the quantile function modeling approach. Specifically, we fit marginal distributions ...
Shi-Jie Deng, Wenjiang Jiang