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» Intrinsic Geometries in Learning
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JMLR
2010
132views more  JMLR 2010»
13 years 2 months ago
Learning Gradients: Predictive Models that Infer Geometry and Statistical Dependence
The problems of dimension reduction and inference of statistical dependence are addressed by the modeling framework of learning gradients. The models we propose hold for Euclidean...
Qiang Wu, Justin Guinney, Mauro Maggioni, Sayan Mu...
ICES
1998
Springer
131views Hardware» more  ICES 1998»
13 years 11 months ago
Aspects of Digital Evolution: Geometry and Learning
In this paper we present a new chromosome representation for evolving digital circuits. The representation is based very closely on the chip architecture of the Xilinx 6216 FPGA. W...
Julian F. Miller, Peter Thomson
ETS
2006
IEEE
60views Hardware» more  ETS 2006»
13 years 7 months ago
Web-based Learning in a Geometry Course
Hsungrow Chan, Pengheng Tsai, Tien-Yu Huang
IPMI
2011
Springer
12 years 11 months ago
Learning an Atlas of a Cognitive Process in Its Functional Geometry
In this paper we construct an atlas that captures functional characteristics of a cognitive process from a population of individuals. The functional connectivity is encoded in a lo...
Georg Langs, Danial Lashkari, Andrew Sweet, Yanmei...