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NIPS
2000
15 years 4 months ago
Structure Learning in Human Causal Induction
We use graphical models to explore the question of how people learn simple causal relationships from data. The two leading psychological theories can both be seen as estimating th...
Joshua B. Tenenbaum, Thomas L. Griffiths
131
Voted
NIPS
1994
15 years 3 months ago
Catastrophic Interference in Human Motor Learning
Biological sensorimotor systems are not static maps that transform input sensory information into output motor behavior. Evidence from many lines of research suggests that their r...
Tom Brashers-Krug, Reza Shadmehr, Emanuel Todorov
101
Voted
CHI
2009
ACM
16 years 3 months ago
Out from behind the curtain: learning from a human auditory display
In this paper we describe an approach to gathering design requirements for a software auditory display by analyzing user interactions with an ideal partner: a talking human contro...
Peter Parente, Gary Bishop
125
Voted
AMDO
2008
Springer
15 years 4 months ago
Learning to Look at Humans - What Are the Parts of a Moving Body?
We present a system that can segment articulated, non-rigid motion without a priori knowledge of the number of clusters present in the analyzed scenario. We combine existing algori...
Thomas Walther, Rolf P. Würtz
130
Voted
ACL
2001
15 years 4 months ago
Detecting Problematic Turns in Human-Machine Interactions: Rule-induction Versus Memory-based Learning Approaches
We address the issue of on-line detection of communication problems in spoken dialogue systems. The usefulness is investigated of the sequence of system question types and the wor...
Antal van den Bosch, Emiel Krahmer, Marc Swerts