957 search results - page 57 / 192 » A Probability Model for Combining Ranks |
164
click to vote
RSKT
2010
Springer
15 years 2 months ago
2010
Springer
A naive Bayesian classifier is a probabilistic classifier based on Bayesian decision theory with naive independence assumptions, which is often used for ranking or constructing a...
135
click to vote
FORMATS
2007
Springer
15 years 10 months ago
2007
Springer
Abstract. Quantitative model checking computes the probability values of a given property quantifying over all possible schedulers. It turns out that maximum and minimum probabilit...
134
click to vote
ICDAR
2009
IEEE
15 years 10 months ago
2009
IEEE
Hidden Markov Models (HMM) are probabilistic graphical models for interdependent classification. In this paper we experiment with different ways of combining the components of an ...
129
click to vote
ECSQARU
2009
Springer
15 years 10 months ago
2009
Springer
Model-based diagnosis is the field of research concerned with the problem of finding faults ms by reasoning with abstract models of the systems. Typically, such models offer a ...
126
click to vote
ECIR
2008
Springer
15 years 5 months ago
2008
Springer
Passage retrieval and pseudo relevance feedback/query expansion have been reported as two effective means for improving document retrieval in literature. Relevance models, while im...