34 search results - page 2 / 7 » Exact and Heuristic Algorithms for the Indel Maximum Likelih... |
JACM
2006
13 years 6 months ago
2006
Abstract. Maximum likelihood (ML) is an increasingly popular optimality criterion for selecting evolutionary trees [Felsenstein 1981]. Finding optimal ML trees appears to be a very...
JMLR
2012
11 years 8 months ago
2012
We present a unifying framework for information theoretic feature selection, bringing almost two decades of research on heuristic filter criteria under a single theoretical inter...
ICDE
2008
IEEE
14 years 7 months ago
2008
IEEE
In recent years, there has been significant interest in development of ranking functions and efficient top-k retrieval algorithms to help users in ad-hoc search and retrieval in da...
ICIAP
2007
ACM
14 years 6 months ago
2007
ACM
In this paper, a novel learning algorithm for Hidden Markov Models (HMMs) has been devised. The key issue is the achievement of a sparse model, i.e., a model in which all irreleva...
BMCBI
2008
13 years 6 months ago
2008
Background: Protein structure comparison is a key problem in bioinformatics. There exist several methods for doing protein comparison, being the solution of the Maximum Contact Ma...