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UAI
1996
13 years 10 months ago
Bayesian Learning of Loglinear Models for Neural Connectivity
This paper presents a Bayesian approach to learning the connectivity structure of a group of neurons from data on configuration frequencies. A major objective of the research is t...
Kathryn B. Laskey, Laura Martignon
ERCIMDL
2010
Springer
126views Education» more  ERCIMDL 2010»
13 years 7 months ago
Uncovering Hidden Qualities - Benefits of Quality Measures for Automatically Generated Metadata
Abstract. Today, digital libraries more and more have to rely on semantic techniques during the workflows of metadata generation, search and navigational access. But, due to the st...
Sascha Tönnies, Wolf-Tilo Balke
AIPS
2004
13 years 10 months ago
Trading Places: How to Schedule More in a Multi-Resource Oversubscribed Scheduling Problem
Oversubscribed scheduling problems require removing tasks when enough resources are not available. Prior AI approaches have mostly been constructive or repairbased heuristic searc...
Laura Barbulescu, Adele E. Howe, L. Darrell Whitle...
RECOMB
2008
Springer
14 years 9 months ago
Detecting Disease-Specific Dysregulated Pathways Via Analysis of Clinical Expression Profiles
We present a method for identifying connected gene subnetworks significantly enriched for genes that are dysregulated in specimens of a disease. These subnetworks provide a signat...
Igor Ulitsky, Richard M. Karp, Ron Shamir
WOWMOM
2005
ACM
240views Multimedia» more  WOWMOM 2005»
14 years 2 months ago
An Adaptive Routing Protocol for Ad Hoc Peer-to-Peer Networks
Ad hoc networks represent a key factor in the evolution of wireless communications. These networks typically consist of equal nodes that communicate without central control, inter...
Luca Gatani, Giuseppe Lo Re, Salvatore Gaglio