1149 search results - page 131 / 230 » Learning to Align: A Statistical Approach |
ISBI
2009
IEEE
14 years 5 months ago
2009
IEEE
Probabilistic branching node inference is an important step for analyzing branching patterns involved in many anatomic structures. We propose combining machine learning techniques...
NAACL
2007
14 years 7 days ago
2007
We propose a novel HMM-based framework to accurately transliterate unseen named entities. The framework leverages features in letteralignment and letter n-gram pairs learned from ...
ML
2002
ACM
13 years 10 months ago
2002
ACM
A widely acknowledged drawback of many statistical modelling techniques, commonly used in machine learning, is that the resulting model is extremely difficult to interpret. A numb...
WWW
2008
ACM
14 years 11 months ago
2008
ACM
Learning to rank is a new statistical learning technology on creating a ranking model for sorting objects. The technology has been successfully applied to web search, and is becom...
Book
"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning...