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BMCBI
2007
173views more  BMCBI 2007»
15 years 4 months ago
Predicting state transitions in the transcriptome and metabolome using a linear dynamical system model
Background: Modelling of time series data should not be an approximation of input data profiles, but rather be able to detect and evaluate dynamical changes in the time series dat...
Ryoko Morioka, Shigehiko Kanaya, Masami Y. Hirai, ...
KDD
2004
ACM
209views Data Mining» more  KDD 2004»
16 years 4 months ago
Tracking dynamics of topic trends using a finite mixture model
In a wide range of business areas dealing with text data streams, including CRM, knowledge management, and Web monitoring services, it is an important issue to discover topic tren...
Satoshi Morinaga, Kenji Yamanishi
NIPS
2008
15 years 5 months ago
Non-stationary dynamic Bayesian networks
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
Joshua W. Robinson, Alexander J. Hartemink
GLOBECOM
2009
IEEE
15 years 11 months ago
Maximum-Likelihood Sequence Detector for Dynamic Mode High Density Probe Storage
— There is an ever increasing need for storing data in smaller and smaller form factors driven by the ubiquitous use and increased demands of consumer electronics. A new approach...
Naveen Kumar, Pranav Agarwal, Aditya Ramamoorthy, ...
CODES
2001
IEEE
15 years 8 months ago
Compiler-directed selection of dynamic memory layouts
Compiler technology is becoming a key component in the design of embedded systems, mostly due to increasing participation of software in the design process. Meeting system-level ob...
Mahmut T. Kandemir, Ismail Kadayif