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APBC
2004
13 years 11 months ago
Representing Experimental Biological Data in Metabolic Networks
This paper describes a novel approach to representing experimental biological data in metabolic networks. The aim is to allow biologists to visualise and analyse the data in the c...
Tim Dwyer, Hardy Rolletschek, Falk Schreiber
FLAIRS
2003
13 years 11 months ago
Indeterminacy and Rough Approximation
This paper deals with the problem of merging descriptions of approximate spatial location specified at different levels of granularity. We distinguish between the roughness of an...
Thomas Bittner
WSC
2004
13 years 11 months ago
Risk and Information in the Estimation of Hidden Markov Models
In this paper, we consider the relationship between risksensitivity and information. Product estimators are introduced as a generalization of Maximum A Posteriori Probability (MAP...
Vahid Reza Ramezani, Steven I. Marcus, Michael C. ...
ACL
1998
13 years 11 months ago
A Connectionist Architecture for Learning to Parse
We present a connectionist architecture and demonstrate that it can learn syntactic parsing from a corpus of parsed text. The architecture can represent syntactic constituents, an...
James Henderson, Peter Lane
UAI
1997
13 years 11 months ago
Structure and Parameter Learning for Causal Independence and Causal Interaction Models
We begin by discussing causal independence models and generalize these models to causal interaction models. Causal interaction models are models that have independent mechanisms w...
Christopher Meek, David Heckerman