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CHI
2007
ACM
15 years 10 months ago
Understanding and developing models for detecting and differentiating breakpoints during interactive tasks
The ability to detect and differentiate breakpoints during task execution is critical for enabling defer-to-breakpoint policies within interruption management. In this work, we ex...
Shamsi T. Iqbal, Brian P. Bailey
TII
2008
77views more  TII 2008»
14 years 9 months ago
The One-Shot Task Model for Robust Real-Time Embedded Control Systems
Embedded control systems are often implemented in small microprocessors enabled with real-time technology. In this context, control laws are often designed according to discrete-ti...
Camilo Lozoya, Manel Velasco, Pau Martí
ICRA
2002
IEEE
128views Robotics» more  ICRA 2002»
15 years 2 months ago
Generation of a Task Model by Integrating Multiple Observations of Human Demonstrations
This paper describes a new approach on how to teach a robot everyday manipulation tasks under the “Learning from Observation” framework. Most of the approaches so far assume t...
Koichi Ogawara, Jun Takamatsu, Hiroshi Kimura, Kat...
NECO
2008
111views more  NECO 2008»
14 years 9 months ago
A Neural Network Model of the Eriksen Task: Reduction, Analysis, and Data Fitting
We analyze a neural network model of the Eriksen task, a twoalternative forced choice task in which subjects must correctly identify a central stimulus and disregard flankers that...
Yuan Sophie Liu, Philip Holmes, Jonathan D. Cohen
NAACL
2004
14 years 11 months ago
The Web as a Baseline: Evaluating the Performance of Unsupervised Web-based Models for a Range of NLP Tasks
Previous work demonstrated that web counts can be used to approximate bigram frequencies, and thus should be useful for a wide variety of NLP tasks. So far, only two generation ta...
Mirella Lapata, Frank Keller