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ICML
2010
IEEE
15 years 7 months ago
Cognitive Models of Test-Item Effects in Human Category Learning
Imagine two identical people receive exactly the same training on how to classify certain objects. Perhaps surprisingly, we show that one can then manipulate them into classifying...
Xiaojin Zhu, Bryan R. Gibson, Kwang-Sung Jun, Timo...
ICML
2010
IEEE
15 years 7 months ago
Hilbert Space Embeddings of Hidden Markov Models
Hidden Markov Models (HMMs) are important tools for modeling sequence data. However, they are restricted to discrete latent states, and are largely restricted to Gaussian and disc...
Le Song, Sajid M. Siddiqi, Geoffrey J. Gordon, Ale...
ICML
2010
IEEE
15 years 7 months ago
Multiagent Inductive Learning: an Argumentation-based Approach
Multiagent Inductive Learning is the problem that groups of agents face when they want to perform inductive learning, but the data of interest is distributed among them. This pape...
Santiago Ontañón, Enric Plaza
ENTCS
2008
99views more  ENTCS 2008»
15 years 6 months ago
Modelling Intracellular Fate of FGF Receptors With BioAmbients
In this paper we consider a model of different sorting of receptors for Fibroblast Growth Factor via the endocytotic pathway. In order to accurately model the relocation in the di...
Steffen van Bakel, Ikra Khan, Maria Grazia Vigliot...
168
Voted
DI
2006
50views more  DI 2006»
15 years 6 months ago
Improving evidence acquisition from live network sources
The pervasiveness of network technology is causing a shift in the location of digital evidence. What was once largely found on individual disks tied to single individuals is now b...
Bruce J. Nikkel