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» Bringing order into bayesian-network construction
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KDD
2010
ACM
224views Data Mining» more  KDD 2010»
13 years 10 months ago
Multi-label learning by exploiting label dependency
In multi-label learning, each training example is associated with a set of labels and the task is to predict the proper label set for the unseen example. Due to the tremendous (ex...
Min-Ling Zhang, Kun Zhang
JMLR
2010
157views more  JMLR 2010»
13 years 1 months ago
Why are DBNs sparse?
Real stochastic processes operating in continuous time can be modeled by sets of stochastic differential equations. On the other hand, several popular model families, including hi...
Shaunak Chatterjee, Stuart Russell
JETAI
1998
110views more  JETAI 1998»
13 years 6 months ago
Independency relationships and learning algorithms for singly connected networks
Graphical structures such as Bayesian networks or Markov networks are very useful tools for representing irrelevance or independency relationships, and they may be used to e cientl...
Luis M. de Campos
PG
2003
IEEE
13 years 11 months ago
Automatic Animation Skeleton Construction Using Repulsive Force Field
A method is proposed in this paper to automatically generate the animation skeleton of a model such that the model can be manipulated according to the skeleton. With our method, u...
Pin-Chou Liu, Fu-Che Wu, Wan-Chun Ma, Rung-Huei Li...
BICOB
2009
Springer
14 years 26 days ago
A Bayesian Approach to High-Throughput Biological Model Generation
Abstract. With the availability of hundreds and soon-to-be thousands of complete genomes, the construction of genome-scale metabolic models for these organisms has attracted much a...
Xinghua Shi, Rick L. Stevens