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INTERSPEECH
2010
13 years 2 months ago
A classifier-based target cost for unit selection speech synthesis trained on perceptual data
Our goal is to automatically learn a perceptually-optimal target cost function for a unit selection speech synthesiser. The approach we take here is to train a classifier on human...
Volker Strom, Simon King
AAAI
2010
13 years 8 months ago
Myopic Policies for Budgeted Optimization with Constrained Experiments
Motivated by a real-world problem, we study a novel budgeted optimization problem where the goal is to optimize an unknown function f(x) given a budget. In our setting, it is not ...
Javad Azimi, Xiaoli Fern, Alan Fern, Elizabeth Bur...
ICNC
2005
Springer
14 years 1 months ago
Training Data Selection for Support Vector Machines
Abstract. In recent years, support vector machines (SVMs) have become a popular tool for pattern recognition and machine learning. Training a SVM involves solving a constrained qua...
Jigang Wang, Predrag Neskovic, Leon N. Cooper
AAAI
2006
13 years 9 months ago
A Simple and Effective Method for Incorporating Advice into Kernel Methods
We propose a simple mechanism for incorporating advice (prior knowledge), in the form of simple rules, into support-vector methods for both classification and regression. Our appr...
Richard Maclin, Jude W. Shavlik, Trevor Walker, Li...
CSFW
2000
IEEE
13 years 11 months ago
Confidentiality for Mobile Code: The Case of a Simple Payment Protocol
We propose an approach to support confidentiality for mobile implementations of security-sensitive protocols using Java/JVM. An applet which receives and passes on confidential in...
Mads Dam, Pablo Giambiagi