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ICML
1999
IEEE
14 years 23 days ago
Learning Hierarchical Performance Knowledge by Observation
Developing automated agents that intelligently perform complex real world tasks is time consuming and expensive. The most expensive part of developing these intelligent task perfo...
Michael van Lent, John E. Laird
BMCBI
2007
131views more  BMCBI 2007»
13 years 8 months ago
Prediction of peptides observable by mass spectrometry applied at the experimental set level
Background: When proteins are subjected to proteolytic digestion and analyzed by mass spectrometry using a method such as 2D LC MS/MS, only a portion of the proteotypic peptides a...
William S. Sanders, Susan M. Bridges, Fiona M. McC...
INFOCOM
2008
IEEE
14 years 2 months ago
Complex Network Measurements: Estimating the Relevance of Observed Properties
Abstract—Complex networks, modeled as large graphs, received much attention during these last years. However, data on such networks is only available through intricate measuremen...
Matthieu Latapy, Clémence Magnien
VRST
2004
ACM
14 years 1 months ago
Observing effects of attention on presence with fMRI
Presence is one of the goals of many virtual reality systems. Historically, in the context of virtual reality, the concept of presence has been associated much with spatial percep...
Sungkil Lee, Gerard Jounghyun Kim, Janghan Lee
AAAI
2011
12 years 8 months ago
Logistic Methods for Resource Selection Functions and Presence-Only Species Distribution Models
In order to better protect and conserve biodiversity, ecologists use machine learning and statistics to understand how species respond to their environment and to predict how they...
Steven Phillips, Jane Elith