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ICGA
2007
157views Optimization» more  ICGA 2007»
14 years 9 months ago
Computing "Elo Ratings" of Move Patterns in the Game of Go
Abstract. Move patterns are an essential method to incorporate domain knowledge into Go-playing programs. This paper presents a new Bayesian technique for supervised learning of su...
Rémi Coulom
ACII
2007
Springer
15 years 3 months ago
Entertainment Modeling in Physical Play Through Physiology Beyond Heart-Rate
An investigation into capturing the relation of physiology, beyond heart rate recording, to expressed preferences of entertainment in children’s physical gameplay is presented in...
Georgios N. Yannakakis, John Hallam
66
Voted
ICCS
2005
Springer
15 years 3 months ago
Adaptive Smoothing Neural Networks in Foreign Exchange Rate Forecasting
This study proposes a novel forecasting approach – an adaptive smoothing neural network (ASNN) – to predict foreign exchange rates. In this new model, adaptive smoothing techni...
Lean Yu, Shouyang Wang, Kin Keung Lai
84
Voted
RECSYS
2010
ACM
14 years 7 months ago
List-wise learning to rank with matrix factorization for collaborative filtering
A ranking approach, ListRank-MF, is proposed for collaborative filtering that combines a list-wise learning-to-rank algorithm with matrix factorization (MF). A ranked list of item...
Yue Shi, Martha Larson, Alan Hanjalic
CORR
2010
Springer
163views Education» more  CORR 2010»
14 years 8 months ago
Faster Rates for training Max-Margin Markov Networks
Structured output prediction is an important machine learning problem both in theory and practice, and the max-margin Markov network (M3 N) is an effective approach. All state-of-...
Xinhua Zhang, Ankan Saha, S. V. N. Vishwanathan