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ISMIR
2004
Springer
111views Music» more  ISMIR 2004»
14 years 1 months ago
Optimizing Measures Of Melodic Similarity For The Exploration Of A Large Folk Song Database
This investigation aims at finding an optimal way of measuring the similarity of melodies. The applicability for an automated analysis and classification was tested on a folk song...
Daniel Müllensiefen, Klaus Frieler
ICTAI
2006
IEEE
14 years 1 months ago
Polynomial Regression with Automated Degree: A Function Approximator for Autonomous Agents
In order for an autonomous agent to behave robustly in a variety of environments, it must have the ability to learn approximations to many different functions. The function approx...
Daniel Stronger, Peter Stone
HPCA
2006
IEEE
14 years 8 months ago
Construction and use of linear regression models for processor performance analysis
Processor architects have a challenging task of evaluating a large design space consisting of several interacting parameters and optimizations. In order to assist architects in ma...
P. J. Joseph, Kapil Vaswani, Matthew J. Thazhuthav...
ICPR
2008
IEEE
14 years 2 months ago
Estimating the readability of handwritten text - a Support Vector Regression based approach
This paper presents a new approach to estimating the readability of handwritten text. The estimation task is posed as a regression problem. A novel Support Vector Regression (SVR)...
Andreas Schlapbach, Frank Wettstein, Horst Bunke
JMLR
2002
106views more  JMLR 2002»
13 years 7 months ago
Some Greedy Learning Algorithms for Sparse Regression and Classification with Mercer Kernels
We present some greedy learning algorithms for building sparse nonlinear regression and classification models from observational data using Mercer kernels. Our objective is to dev...
Prasanth B. Nair, Arindam Choudhury 0002, Andy J. ...