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» Evaluating Adaptive Problem Selection
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131
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MCS
2010
Springer
15 years 8 months ago
Online Non-stationary Boosting
Abstract. Oza’s Online Boosting algorithm provides a version of AdaBoost which can be trained in an online way for stationary problems. One perspective is that this enables the p...
Adam Pocock, Paraskevas Yiapanis, Jeremy Singer, M...
ICAPR
2001
Springer
15 years 8 months ago
Character Extraction from Interfering Background - Analysis of Double-Sided Handwritten Archival Documents
The sipping of ink through the pages of certain double-sided handwritten documents after long periods of storage poses a serious problem to human readers or OCR systems. This pape...
Chew Lim Tan, Ruini Cao, Qian Wang, Peiyi Shen
131
Voted
ICCS
1993
Springer
15 years 7 months ago
Towards Domain-Independent Machine Intelligence
Adaptive predictive search (APS), is a learning system framework, which given little initial domain knowledge, increases its decision-making abilities in complex problems domains....
Robert Levinson
97
Voted
EUC
2006
Springer
15 years 7 months ago
Optimizing Scheduling Stability for Runtime Data Alignment
Runtime data alignment has been paid attention recently since it can allocate data segment to processors dynamically according to applications' requirement. One of the key opt...
Ching-Hsien Hsu, Chao-Yang Lan, Shih-Chang Chen
132
Voted
AIIDE
2008
15 years 6 months ago
Intelligent Trading Agents for Massively Multi-player Game Economies
As massively multi-player gaming environments become more detailed, developing agents to populate these virtual worlds as capable non-player characters poses an increasingly compl...
John Reeder, Gita Sukthankar, Michael Georgiopoulo...