661 search results - page 33 / 133 » Risk and Information in the Estimation of Hidden Markov Mode... |
WSDM
2010
ACM
14 years 5 months ago
2010
ACM
This article describes an application of the partially observable Markov (POM) model to the analysis of a large scale commercial web search log. Mathematically, POM is a variant o...
ECIR
2009
Springer
14 years 5 months ago
2009
Springer
Probabilistic retrieval models usually rank documents based on a scalar quantity. However, such models lack any estimate for the uncertainty associated with a document’s rank. Fu...
CORR
2007
Springer
13 years 7 months ago
2007
Springer
We consider the problem of Adverse Selection and optimal derivative design within a Principal-Agent framework. The principal’s income is exposed to non-hedgeable risk factors ar...
NAACL
2010
13 years 5 months ago
2010
A variety of information extraction techniques rely on the fact that instances of the same relation are "distributionally similar," in that they tend to appear in simila...
ICML
2000
IEEE
14 years 8 months ago
2000
IEEE
Hidden Markov models (HMMs) are a powerful probabilistic tool for modeling sequential data, and have been applied with success to many text-related tasks, such as part-of-speech t...