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JCSS
2007
116views more  JCSS 2007»
15 years 3 months ago
The most probable annotation problem in HMMs and its application to bioinformatics
Hidden Markov models (HMMs) are often used for biological sequence annotation. Each sequence feature is represented by a collection of states with the same label. In annotating a ...
Brona Brejová, Daniel G. Brown 0001, Tom&aa...
CVPR
2005
IEEE
16 years 5 months ago
Bayesian Image Segmentation Using Wavelet-Based Priors
This paper introduces a formulation which allows using wavelet-based priors for image segmentation. This formulation can be used in supervised, unsupervised, or semisupervised mod...
Mário A. T. Figueiredo
PKDD
2009
Springer
102views Data Mining» more  PKDD 2009»
15 years 10 months ago
Relevance Grounding for Planning in Relational Domains
Probabilistic relational models are an efficient way to learn and represent the dynamics in realistic environments consisting of many objects. Autonomous intelligent agents that gr...
Tobias Lang, Marc Toussaint
JBI
2004
163views Bioinformatics» more  JBI 2004»
15 years 4 months ago
Artificial Chemistries and Metabolic Pathways
Metabolism can be regarded as a network of biochemical reactions, connected via their substrates and products. A metabolic pathway is thus a coordinated series of reactions, and i...
Liliana Félix, Francesc Rosselló, Ga...
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HPDC
2010
IEEE
15 years 4 months ago
AzureBlast: a case study of developing science applications on the cloud
Cloud computing has emerged as a new approach to large scale computing and is attracting a lot of attention from the scientific and research computing communities. Despite its gro...
Wei Lu, Jared Jackson, Roger S. Barga