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» Genetic Map Construction with Constraints
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NIPS
1990
15 years 7 months ago
Bumptrees for Efficient Function, Constraint and Classification Learning
A new class of data structures called "bumptrees" is described. These structures are useful for efficiently implementing a number of neural network related operations. A...
Stephen M. Omohundro
IWRIDL
2006
ACM
141views Education» more  IWRIDL 2006»
15 years 12 months ago
Shallow syntax analysis in Sanskrit guided by semantic nets constraints
We present the state of the art of a computational platform for the analysis of classical Sanskrit. The platform comprises modules for phonology, morphology, segmentation and shal...
Gérard P. Huet
IJCAI
1997
15 years 7 months ago
Evolvable Hardware for Generalized Neural Networks
This paper describes an evolvable hardware (EHW) system for generalized neural network learning. We have developed an ASIC VLSI chip, which is a building block to configure a scal...
Masahiro Murakawa, Shuji Yoshizawa, Isamu Kajitani...
GIS
2009
ACM
16 years 7 months ago
Map-Matching for Low-Sampling-Rate GPS Trajectories
Map-matching is the process of aligning a sequence of observed user positions with the road network on a digital map. It is a fundamental pre-processing step for many applications...
Yin Lou, Chengyang Zhang, Yu Zheng, Xing Xie, Wei ...
AHS
2007
IEEE
253views Hardware» more  AHS 2007»
16 years 7 days ago
evolFIR: Evolving redundancy-free FIR structures
Finite impulse response (FIR) structures are the most commonly used digital filters and can be found in various areas of everyday life. In this paper we introduce a novel approac...
Szilvia Zvada, Gabriella Kókai, Róbe...