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» Incremental Construction of Structured Hidden Markov Models
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IJON
2006
109views more  IJON 2006»
13 years 10 months ago
Integrating the improved CBP model with kernel SOM
In this paper, we first design a more generalized network model, Improved CBP, based on the same structure as Circular BackPropagation (CBP) proposed by Ridella et al. The novelty ...
Qun Dai, Songcan Chen
UAI
2003
13 years 11 months ago
Large-Sample Learning of Bayesian Networks is NP-Hard
In this paper, we provide new complexity results for algorithms that learn discrete-variable Bayesian networks from data. Our results apply whenever the learning algorithm uses a ...
David Maxwell Chickering, Christopher Meek, David ...
CITA
2005
IEEE
14 years 4 months ago
Cache Hierarchy Inspired Compression: a Novel Architecture for Data Streams
- We present an architecture for data streams based on structures typically found in web cache hierarchies. The main idea is to build a meta level analyser from a number of levels ...
Geoffrey Holmes, Bernhard Pfahringer, Richard Kirk...
BMCBI
2004
114views more  BMCBI 2004»
13 years 10 months ago
HMM Logos for visualization of protein families
Background: Profile Hidden Markov Models (pHMMs) are a widely used tool for protein family research. Up to now, however, there exists no method to visualize all of their central a...
Benjamin Schuster-Böckler, Jörg Schultz,...
APIN
2006
136views more  APIN 2006»
13 years 10 months ago
Cell modeling with reusable agent-based formalisms
Biologists are building increasingly complex models and simulations of cells and other biological entities, and are looking at alternatives to traditional representations. Making ...
Ken Webb, Tony White