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» Modelling Human Intelligence: A Learning Mechanism
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PRICAI
2004
Springer
14 years 1 months ago
Computational Methods for Identification of Human microRNA Precursors
MicroRNA (miRNA), one of non-coding RNAs (ncRNAs), regulates gene expression directly by arresting the messenger RNA (mRNA) translation, which is important for identifying putative...
Jin-Wu Nam, Wha-Jin Lee, Byoung-Tak Zhang
WAPCV
2007
Springer
14 years 2 months ago
Learning to Attend - From Bottom-Up to Top-Down
The control of overt visual attention relies on an interplay of bottom-up and top-down mechanisms. Purely bottom-up models may provide a reasonable account of the looking behaviors...
Hector Jasso, Jochen Triesch
ICANN
2009
Springer
14 years 2 months ago
Selective Attention Improves Learning
Abstract. We demonstrate that selective attention can improve learning. Considerably fewer samples are needed to learn a source separation problem when the inputs are pre-segmented...
Antti Yli-Krekola, Jaakko Särelä, Harri ...
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IAT
2010
IEEE
13 years 5 months ago
Learning Personal Agents with Adaptive Player Modeling in Virtual Worlds
Abstract--There has been growing interest in creating intelligent agents in virtual worlds that do not follow fixed scripts predefined by the developers, but react accordingly base...
Yilin Kang, Ah-Hwee Tan
CROSSROADS
2010
13 years 2 months ago
Massive multiplayer human computation for fun, money, and survival
Crowdsourcing is an effective tool to solve hard tasks. By bringing 100,000s of people to work on simple tasks that only humans can do, we can go far beyond traditional models of ...
Lukas Biewald