104 search results - page 5 / 21 » A Probabilistic Learning Approach to Whole-Genome Operon Pre... |
ILP
1999
Springer
13 years 12 months ago
1999
Springer
Most real-world data is heterogeneous and richly interconnected. Examples include the Web, hypertext, bibliometric data and social networks. In contrast, most statistical learning...
AGENTS
1998
Springer
13 years 12 months ago
1998
Springer
Physical domains are notoriously hard to model completely and correctly, especially to capture the dynamics of the environment. Moreover, since environments change, it is even mor...
BIBM
2010
IEEE
13 years 5 months ago
2010
IEEE
The emergence of data rich domains has led to an exponential growth in the size and number of data repositories, offering exciting opportunities to learn from the data using machin...
RECOMB
2002
Springer
14 years 8 months ago
2002
Springer
We present a probabilistic framework that models the process by which transcriptional binding explains the mRNA expression of different genes. Our joint probabilistic model unifie...
ISNN
2009
Springer
14 years 2 months ago
2009
Springer
In this paper, we introduce a new instance-based approach to the label ranking problem. This approach is based on a probability model on rankings which is known as the Mallows mode...