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BIOINFORMATICS
2010
127views more  BIOINFORMATICS 2010»
13 years 5 months ago
Analyzing taxonomic classification using extensible Markov models
Motivation: As next generation sequencing is rapidly adding new genomes, their correct placement in the taxonomy needs verification. However, the current methods for confirming cl...
Rao M. Kotamarti, Michael Hahsler, Douglas Raiford...
CCE
2004
13 years 5 months ago
Improving convergence of the stochastic decomposition algorithm by using an efficient sampling technique
This work focuses on the basic stochastic decomposition (SD) algorithm of Higle and Sen [J.L. Higle, S. Sen, Stochastic Decomposition, Kluwer Academic Publishers, 1996] for two-st...
José María Ponce-Ortega, Vicente Ric...
ATAL
2007
Springer
13 years 12 months ago
Batch reinforcement learning in a complex domain
Temporal difference reinforcement learning algorithms are perfectly suited to autonomous agents because they learn directly from an agent’s experience based on sequential actio...
Shivaram Kalyanakrishnan, Peter Stone
IJCAI
2003
13 years 7 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
EDBT
2009
ACM
302views Database» more  EDBT 2009»
14 years 16 days ago
RankClus: integrating clustering with ranking for heterogeneous information network analysis
As information networks become ubiquitous, extracting knowledge from information networks has become an important task. Both ranking and clustering can provide overall views on in...
Yizhou Sun, Jiawei Han, Peixiang Zhao, Zhijun Yin,...