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IJCAI
2003
13 years 9 months ago
A Planning Algorithm for Predictive State Representations
We address the problem of optimally controlling stochastic environments that are partially observable. The standard method for tackling such problems is to define and solve a Part...
Masoumeh T. Izadi, Doina Precup
AIPS
2009
13 years 9 months ago
Efficient Solutions to Factored MDPs with Imprecise Transition Probabilities
When modeling real-world decision-theoretic planning problems in the Markov decision process (MDP) framework, it is often impossible to obtain a completely accurate estimate of tr...
Karina Valdivia Delgado, Scott Sanner, Leliane Nun...
MM
2010
ACM
177views Multimedia» more  MM 2010»
13 years 8 months ago
Image tag refinement towards low-rank, content-tag prior and error sparsity
The vast user-provided image tags on the popular photo sharing websites may greatly facilitate image retrieval and management. However, these tags are often imprecise and/or incom...
Guangyu Zhu, Shuicheng Yan, Yi Ma
BMCBI
2010
134views more  BMCBI 2010»
13 years 8 months ago
BayesMotif: de novo protein sorting motif discovery from impure datasets
Background: Protein sorting is the process that newly synthesized proteins are transported to their target locations within or outside of the cell. This process is precisely regul...
Jianjun Hu, Fan Zhang
NN
2008
Springer
143views Neural Networks» more  NN 2008»
13 years 8 months ago
A batch ensemble approach to active learning with model selection
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
Masashi Sugiyama, Neil Rubens