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ADCM
2006
74views more  ADCM 2006»
14 years 10 months ago
Linearly constrained reconstruction of functions by kernels with applications to machine learning
This paper investigates the approximation of multivariate functions from data via linear combinations of translates of a positive definite kernel from a reproducing kernel Hilbert...
Robert Schaback, J. Werner
IVC
2007
184views more  IVC 2007»
14 years 10 months ago
Image distance functions for manifold learning
Many natural image sets are samples of a low-dimensional manifold in the space of all possible images. When the image data set is not a linear combination of a small number of bas...
Richard Souvenir, Robert Pless
SIGECOM
2009
ACM
114views ECommerce» more  SIGECOM 2009»
15 years 4 months ago
Policy teaching through reward function learning
Policy teaching considers a Markov Decision Process setting in which an interested party aims to influence an agent’s decisions by providing limited incentives. In this paper, ...
Haoqi Zhang, David C. Parkes, Yiling Chen
LREC
2008
253views Education» more  LREC 2008»
14 years 11 months ago
Learning properties of Noun Phrases: from data to functions
The paper presents two experiments of unsupervised classification of Italian noun phrases. The goal of the experiments is to identify the most prominent contextual properties that...
Valeria Quochi, Basilio Calderone
VLSID
2002
IEEE
115views VLSI» more  VLSID 2002»
15 years 10 months ago
Logic Synthesis for AND-XOR-OR Type Sense-Amplifying PLA
In this paper, a new logic synthesis method for an AND-XOR-OR type sense-amplifying PLA is proposed. An AND-XOR-OR type sense-amplifying PLA can achieve lowpower dissipation and h...
Hiroaki Yoshida, Hiroaki Yamaoka, Makoto Ikeda, Ku...