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» Modeling the Evolution of Decision Rules in the Human Brain
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NIPS
2007
14 years 11 months ago
Markov Chain Monte Carlo with People
Many formal models of cognition implicitly use subjective probability distributions to capture the assumptions of human learners. Most applications of these models determine these...
Adam Sanborn, Thomas L. Griffiths
IJMSO
2007
201views more  IJMSO 2007»
14 years 9 months ago
A context-aware meeting alert using semantic web and rule technology
This paper describes work in progress developing a context-aware meeting alert. This application integrates semantic web technology in RDF (for representing calendars), semantic we...
Grigoris Antoniou, Antonis Bikakis, Anna Karamoleg...
70
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ICTAI
2009
IEEE
15 years 4 months ago
Probabilistic Neural Logic Network Learning: Taking Cues from Neuro-Cognitive Processes
This paper describes an attempt to devise a knowledge discovery model that is inspired from the two theoretical frameworks of selectionism and constructivism in human cognitive le...
Henry Wai Kit Chia, Chew Lim Tan, Sam Yuan Sung
ICPR
2004
IEEE
15 years 10 months ago
Eye Tracking Using Markov Models
We propose an eye detection and tracking method based on color and geometrical features of the human face using a monocular camera. In this method a decision is made on whether th...
A. M. Bagci, Ashfaq A. Khokhar, E. Cetin, Rashid A...
KDD
2012
ACM
205views Data Mining» more  KDD 2012»
13 years 2 days ago
From user comments to on-line conversations
We present an analysis of user conversations in on-line social media and their evolution over time. We propose a dynamic model that predicts the growth dynamics and structural pro...
Chunyan Wang, Mao Ye, Bernardo A. Huberman