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» Efficient Algorithms for Conditional Independence Inference
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AAAI
2008
13 years 10 months ago
Constrained Classification on Structured Data
Most standard learning algorithms, such as Logistic Regression (LR) and the Support Vector Machine (SVM), are designed to deal with i.i.d. (independent and identically distributed...
Chi-Hoon Lee, Matthew R. G. Brown, Russell Greiner...
DAC
2002
ACM
14 years 8 months ago
Schedulability of event-driven code blocks in real-time embedded systems
Many real-time embedded systems involve a collection of independently executing event-driven code blocks, having hard real-time constraints. Tasks in many such systems, like netwo...
Samarjit Chakraborty, Thomas Erlebach, Simon K&uum...
BMCBI
2005
122views more  BMCBI 2005»
13 years 7 months ago
Bayesian coestimation of phylogeny and sequence alignment
Background: Two central problems in computational biology are the determination of the alignment and phylogeny of a set of biological sequences. The traditional approach to this p...
Gerton Lunter, István Miklós, Alexei...
SIGMOD
2009
ACM
139views Database» more  SIGMOD 2009»
14 years 7 months ago
Detecting and resolving unsound workflow views for correct provenance analysis
views abstract groups of tasks in a workflow into high level composite tasks, in order to reuse sub-workflows and facilitate provenance analysis. However, unless a view is careful...
Peng Sun, Ziyang Liu, Susan B. Davidson, Yi Chen
NIPS
2008
13 years 9 months ago
Extracting State Transition Dynamics from Multiple Spike Trains with Correlated Poisson HMM
Neural activity is non-stationary and varies across time. Hidden Markov Models (HMMs) have been used to track the state transition among quasi-stationary discrete neural states. W...
Kentaro Katahira, Jun Nishikawa, Kazuo Okanoya, Ma...