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» Terminating Decision Algorithms Optimally
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147
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COMSIS
2010
15 years 1 months ago
A novel hierarchical speech emotion recognition method based on improved DDAGSVM
In order to improve the recognition accuracy of speech emotion recognition, in this paper, a novel hierarchical method based on improved Decision Directed Acyclic Graph SVM (improv...
Qi-Rong Mao, Yong-Zhao Zhan
GECCO
2007
Springer
184views Optimization» more  GECCO 2007»
15 years 9 months ago
ECGA vs. BOA in discovering stock market trading experts
This paper presents two evolutionary algorithms, ECGA and BOA, applied to constructing stock market trading expertise, which is built on the basis of a set of specific trading ru...
Piotr Lipinski
150
Voted
CIMCA
2008
IEEE
15 years 10 months ago
Tree Exploration for Bayesian RL Exploration
Research in reinforcement learning has produced algorithms for optimal decision making under uncertainty that fall within two main types. The first employs a Bayesian framework, ...
Christos Dimitrakakis
141
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ICRA
2008
IEEE
160views Robotics» more  ICRA 2008»
15 years 10 months ago
A constrained optimization approach to virtual fixtures for multi-handed tasks
— In this work, we have extended the concept of constrained motion control of robots to surgical tasks that require multiple robots. We present virtual fixtures to guide the mot...
Ankur Kapoor, Russell H. Taylor
157
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SIGIR
2011
ACM
14 years 6 months ago
Functional matrix factorizations for cold-start recommendation
A key challenge in recommender system research is how to effectively profile new users, a problem generally known as cold-start recommendation. Recently the idea of progressivel...
Ke Zhou, Shuang-Hong Yang, Hongyuan Zha