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JMLR
2006
169views more  JMLR 2006»
13 years 10 months ago
Bayesian Network Learning with Parameter Constraints
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat ...
IPM
2007
123views more  IPM 2007»
13 years 10 months ago
Generating gene summaries from biomedical literature: A study of semi-structured summarization
Most knowledge accumulated through scientific discoveries in genomics and related biomedical disciplines is buried in the vast amount of biomedical literature. Since understandin...
Xu Ling, Jing Jiang, Xin He, Qiaozhu Mei, Chengxia...
COCOON
2005
Springer
14 years 3 months ago
On-Line Simultaneous Maximization of the Size and the Weight for Degradable Intervals Schedules
We consider the problem of scheduling on-line a sequence of degradable intervals in a set of k identical machines. Our objective is to find a schedule that maximizes simultaneousl...
Fabien Baille, Evripidis Bampis, Christian Lafores...
BMCBI
2005
104views more  BMCBI 2005»
13 years 10 months ago
A statistical approach for array CGH data analysis
Background: Microarray-CGH experiments are used to detect and map chromosomal imbalances, by hybridizing targets of genomic DNA from a test and a reference sample to sequences imm...
Franck Picard, Stéphane Robin, Marc Laviell...
ILP
2005
Springer
14 years 3 months ago
Deriving a Stationary Dynamic Bayesian Network from a Logic Program with Recursive Loops
Recursive loops in a logic program present a challenging problem to the PLP framework. On the one hand, they loop forever so that the PLP backward-chaining inferences would never s...
Yi-Dong Shen, Qiang Yang