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» Experiments with random projections for machine learning
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PROMISE
2010
14 years 10 months ago
On the value of learning from defect dense components for software defect prediction
BACKGROUND: Defect predictors learned from static code measures can isolate code modules with a higher than usual probability of defects. AIMS: To improve those learners by focusi...
Hongyu Zhang, Adam Nelson, Tim Menzies
ICALT
2006
IEEE
15 years 9 months ago
Vicarious Learning and Multimodal Dialogue
Vicarious Learning is learning from watching others learn. We believe that this is a powerful model for computer-based learning. Learning episodes can be captured and replayed to ...
John Lee
ICML
2004
IEEE
16 years 4 months ago
Online and batch learning of pseudo-metrics
We describe and analyze an online algorithm for supervised learning of pseudo-metrics. The algorithm receives pairs of instances and predicts their similarity according to a pseud...
Shai Shalev-Shwartz, Yoram Singer, Andrew Y. Ng
ACCV
2009
Springer
15 years 10 months ago
Interactive Super-Resolution through Neighbor Embedding
Learning based super-resolution can recover high resolution image with high quality. However, building an interactive learning based super-resolution system for general images is e...
Jian Pu, Junping Zhang, Peihong Guo, Xiaoru Yuan
164
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IJCAI
2007
15 years 4 months ago
Augmented Experiment: Participatory Design with Multiagent Simulation
To test large scale socially embedded systems, this paper proposes a multiagent-based participatory design that consists of two steps; 1) participatory simulation, where scenario-...
Toru Ishida, Yuu Nakajima, Yohei Murakami, Hideyuk...