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JAIR
2002
163views more  JAIR 2002»
13 years 7 months ago
Efficient Reinforcement Learning Using Recursive Least-Squares Methods
The recursive least-squares (RLS) algorithm is one of the most well-known algorithms used in adaptive filtering, system identification and adaptive control. Its popularity is main...
Xin Xu, Hangen He, Dewen Hu
ICML
2005
IEEE
14 years 8 months ago
Supervised clustering with support vector machines
Supervised clustering is the problem of training a clustering algorithm to produce desirable clusterings: given sets of items and complete clusterings over these sets, we learn ho...
Thomas Finley, Thorsten Joachims
ICONIP
2007
13 years 9 months ago
Natural Conjugate Gradient in Variational Inference
Variational methods for approximate inference in machine learning often adapt a parametric probability distribution to optimize a given objective function. This view is especially ...
Antti Honkela, Matti Tornio, Tapani Raiko, Juha Ka...
WECWIS
2005
IEEE
141views ECommerce» more  WECWIS 2005»
14 years 1 months ago
An Adaptive Bilateral Negotiation Model for E-Commerce Settings
This paper studies adaptive bilateral negotiation between software agents in e-commerce environments. Specifically, we assume that the agents are self-interested, the environment...
Vidya Narayanan, Nicholas R. Jennings
EUROCAST
2003
Springer
154views Hardware» more  EUROCAST 2003»
14 years 22 days ago
Personalized Guided Routes in an Adaptive Evolutionary Hypermedia System
In this paper we describe an adaptation method for adaptive hypermedia systems, consisting in personalized guided routes for the SEM-HP model. SEM-HP is a layered, systemic, semant...
Nuria Medina-Medina, Fernando Molina-Ortiz, Lina G...