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ICONIP
1998
13 years 9 months ago
ECOS: Evolving Connectionist Systems and the ECO Learning Paradigm
The paper presents a framework called ECOS for Evolving COnnectionist Systems. ECOS evolve through incremental learning. They can accommodate any new input data, including new fea...
Nikola K. Kasabov
AAAI
1994
13 years 9 months ago
Evolving Neural Networks to Focus Minimax Search
Neural networks were evolved through genetic algorithms to focus minimax search in the game of Othello. At each level of the search tree, the focus networks decide which moves are...
David E. Moriarty, Risto Miikkulainen
GISCIENCE
2008
Springer
140views GIS» more  GISCIENCE 2008»
13 years 9 months ago
Modeling Herds and Their Evolvements from Trajectory Data
A trajectory is the time-stamped path of a moving entity through space. Given a set of trajectories, this paper proposes new conceptual definitions for a spatio-temporal pattern n...
Yan Huang, Cai Chen, Pinliang Dong
CIKM
2010
Springer
13 years 7 months ago
Top-Eye: top-k evolving trajectory outlier detection
The increasing availability of large-scale location traces creates unprecedent opportunities to change the paradigm for identifying abnormal moving activities. Indeed, various asp...
Yong Ge, Hui Xiong, Zhi-hua Zhou, Hasan Ozdemir, J...
GECCO
2009
Springer
130views Optimization» more  GECCO 2009»
14 years 3 months ago
The impact of jointly evolving robot morphology and control on adaptation rate
Embodied cognition emphasizes that intelligent behavior results from the coupled dynamics between an agent’s body, brain and environment. In response to this, several projects h...
Josh C. Bongard