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MIR
2010
ACM
167views Multimedia» more  MIR 2010»
15 years 4 months ago
Improving automatic music classification performance by extracting features from different types of data
This paper discusses two sets of automatic musical genre classification experiments. Promising research directions are then proposed based on the results of these experiments. The...
Cory McKay, Ichiro Fujinaga
PKDD
2009
Springer
184views Data Mining» more  PKDD 2009»
15 years 2 months ago
Boosting Active Learning to Optimality: A Tractable Monte-Carlo, Billiard-Based Algorithm
Abstract. This paper focuses on Active Learning with a limited number of queries; in application domains such as Numerical Engineering, the size of the training set might be limite...
Philippe Rolet, Michèle Sebag, Olivier Teyt...
ICC
2007
IEEE
161views Communications» more  ICC 2007»
15 years 3 months ago
Optimizing Multiplayer Gaming Protocols for Heterogeneous Network Environment
— The paper is concerned with a novel adaptive game server protocol optimization to combat network latencies in the case of heterogeneous network environment. In this way, game p...
Zsolt Kenesi, Gábor Kiss, János Leve...
JAIR
2008
135views more  JAIR 2008»
14 years 9 months ago
On Similarities between Inference in Game Theory and Machine Learning
In this paper, we elucidate the equivalence between inference in game theory and machine learning. Our aim in so doing is to establish an equivalent vocabulary between the two dom...
Iead Rezek, David S. Leslie, Steven Reece, Stephen...
AAAI
1996
14 years 10 months ago
Exploiting Graph Properties of Game Trees
The state space of most adversary games is a directed graph. However, due to the success of simple recursive algorithms based on Alpha-Beta, theoreticians and practitioners have c...
Aske Plaat, Jonathan Schaeffer, Wim Pijls, Arie de...