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» Human dialogue modelling using machine learning
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ICML
2000
IEEE
16 years 5 months ago
Bayesian Averaging of Classifiers and the Overfitting Problem
Although Bayesian model averaging is theoretically the optimal method for combining learned models, it has seen very little use in machine learning. In this paper we study its app...
Pedro Domingos
ISNN
2007
Springer
15 years 11 months ago
A Cognitive Model of Concept Learning with a Flexible Internal Representation System
In the human mind, high-order knowledge is categorically organized, yet the nature of its internal representation system is not well understood. While it has been traditionally con...
Toshihiko Matsuka, Yasuaki Sakamoto
157
Voted
CVPR
1997
IEEE
16 years 7 months ago
Learning Parameterized Models of Image Motion
A framework for learning parameterized models of optical flow from image sequences is presented. A class of motions is represented by a set of orthogonal basis flow fields that ar...
Michael J. Black, Yaser Yacoob, Allan D. Jepson, D...
149
Voted
ECCV
2010
Springer
15 years 10 months ago
Human Attributes from 3D Pose Tracking
We show that, from the output of a simple 3D human pose tracker one can infer physical attributes (e.g., gender and weight) and aspects of mental state (e.g., happiness or sadness)...
122
Voted
ALIFE
2008
15 years 5 months ago
The Nature of Words in Human Protolanguages: It's Not a Holophrastic-Atomic Meanings Dichotomy
There is an ongoing debate as to whether the words in early pre-syntactic forms of human language had simple atomic meanings like modern words [4, 5], or whether they were holophr...
Mike Dowman