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» Learning from Multiple Sources of Inaccurate Data
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ICSEA
2009
IEEE
15 years 10 months ago
A Software Requirements Change Source Taxonomy
— Requirements changes during software development pose a risk to cost, schedule and quality while at the same time providing an opportunity to add value. Provision of a generic ...
Sharon McGee, Des Greer
157
Voted
INTERSPEECH
2010
14 years 10 months ago
Data-dependent evaluator modeling and its application to emotional valence classification from speech
Practical supervised learning scenarios involving subjectively evaluated data have multiple evaluators, each giving their noisy version of the hidden ground truth. Majority logic ...
Kartik Audhkhasi, Shrikanth S. Narayanan
AAAI
2008
15 years 5 months ago
Transfer Learning via Dimensionality Reduction
Transfer learning addresses the problem of how to utilize plenty of labeled data in a source domain to solve related but different problems in a target domain, even when the train...
Sinno Jialin Pan, James T. Kwok, Qiang Yang
151
Voted
TWC
2011
320views more  TWC 2011»
14 years 10 months ago
Cognitive Transmissions with Multiple Relays in Cognitive Radio Networks
In cognitive radio networks, each cognitive transmission process typically requires two phases: the spectrum sensing phase and data transmission phase. In this paper, we investiga...
YuLong Zou, Yu-Dong Yao, Baoyu Zheng
AAAI
2011
14 years 3 months ago
Learned Behaviors of Multiple Autonomous Agents in Smart Grid Markets
One proposed approach to managing a large complex Smart Grid is through Broker Agents who buy electrical power from distributed producers, and also sell power to consumers, via a ...
Prashant P. Reddy, Manuela M. Veloso