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105
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JMLR
2010
119views more  JMLR 2010»
14 years 7 months ago
Semi-Supervised Learning via Generalized Maximum Entropy
Various supervised inference methods can be analyzed as convex duals of the generalized maximum entropy (MaxEnt) framework. Generalized MaxEnt aims to find a distribution that max...
Ayse Erkan, Yasemin Altun
120
Voted
CAEPIA
2011
Springer
14 years 15 days ago
Evaluating a Reinforcement Learning Algorithm with a General Intelligence Test
In this paper we apply the recent notion of anytime universal intelligence tests to the evaluation of a popular reinforcement learning algorithm, Q-learning. We show that a general...
Javier Insa-Cabrera, David L. Dowe, José He...
ICAISC
2010
Springer
15 years 2 months ago
CI in General Game Playing - To Date Achievements and Perspectives
Abstract. Multigame playing agents are programs capable of autonomously learning to play new, previously unknown games. In this paper, we concentrate on the General Game Playing Co...
Karol Waledzik, Jacek Mandziuk
122
Voted
ICALP
2009
Springer
16 years 24 days ago
On a Network Generalization of the Minmax Theorem
We consider graphical games in which edges are zero-sum games between the endpoints/players; the payoff of a player is the sum of the payoffs from each incident edge. We give a si...
Constantinos Daskalakis, Christos H. Papadimitriou
ICANN
2007
Springer
15 years 6 months ago
Generalized Softmax Networks for Non-linear Component Extraction
Abstract. We develop a probabilistic interpretation of non-linear component extraction in neural networks that activate their hidden units according to a softmaxlike mechanism. On ...
Jörg Lücke, Maneesh Sahani