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DIS
2007
Springer
14 years 2 months ago
Fast NML Computation for Naive Bayes Models
Abstract. The Minimum Description Length (MDL) is an informationtheoretic principle that can be used for model selection and other statistical inference tasks. One way to implement...
Tommi Mononen, Petri Myllymäki
ECAI
2004
Springer
14 years 1 months ago
Piece-Wise Model Fitting Using Local Data Patterns
In this paper we propose a novel classification algorithm that fits models of different complexity on separate regions of the input space. The goal is to achieve a balance betwee...
Ricardo Vilalta, Murali-Krishna Achari, Christoph ...
BMCBI
2006
148views more  BMCBI 2006»
13 years 8 months ago
Predicting Class II MHC-Peptide binding: a kernel based approach using similarity scores
Background: Modelling the interaction between potentially antigenic peptides and Major Histocompatibility Complex (MHC) molecules is a key step in identifying potential T-cell epi...
Jesper Salomon, Darren R. Flower
SCP
1998
113views more  SCP 1998»
13 years 8 months ago
Linear-Time Hierarchies for a Functional Language Machine Model
In STOC 93, Jones sketched the existence of a hierarchy within problems decidable in linear time by a first-order functional language based on tree-structured data (F), as well a...
Eva Rose
UAI
1996
13 years 9 months ago
Learning Equivalence Classes of Bayesian Network Structures
Two Bayesian-network structures are said to be equivalent if the set of distributions that can be represented with one of those structures is identical to the set of distributions...
David Maxwell Chickering