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» Gaussian Processes in Machine Learning
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CHI
2008
ACM
14 years 9 months ago
Investigating statistical machine learning as a tool for software development
As statistical machine learning algorithms and techniques continue to mature, many researchers and developers see statistical machine learning not only as a topic of expert study,...
Kayur Patel, James Fogarty, James A. Landay, Bever...
ICIP
2008
IEEE
14 years 10 months ago
Implicit spatial inference with sparse local features
This paper introduces a novel way to leverage the implicit geometry of sparse local features (e.g. SIFT operator) for the purposes of object detection and segmentation. A two-clas...
Deirdre O'Regan, Anil C. Kokaram
ACL
1998
13 years 10 months ago
Experiments with Learning Parsing Heuristics
Any large language processing software relies in its operation on heuristic decisions concerning the strategy of processing. These decisions are usually "hard-wired" int...
Sylvain Delisle, Sylvain Létourneau, Stan M...
UIST
2010
ACM
13 years 6 months ago
Gestalt: integrated support for implementation and analysis in machine learning
We present Gestalt, a development environment designed to support the process of applying machine learning. While traditional programming environments focus on source code, we exp...
Kayur Patel, Naomi Bancroft, Steven M. Drucker, Ja...
KI
2008
Springer
13 years 9 months ago
A Drum Machine That Learns to Groove
Music production relies increasingly on advanced hardware and software tools that makes the creative process more flexible and versatile. The advancement of these tools helps reduc...
Axel Tidemann, Yiannis Demiris