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139
Voted
PREMI
2005
Springer
15 years 8 months ago
2005
Springer
In the typical nonparametric approach to classification in instance-based learning and data mining, random data (the training set of patterns) are collected and used to design a d...
107
Voted
SSPR
2004
Springer
15 years 8 months ago
2004
Springer
Most machine learning algorithms are designed either for supervised or for unsupervised learning, notably classification and clustering. Practical problems in bioinformatics and i...
105
Voted
ICALT
2007
IEEE
15 years 9 months ago
2007
IEEE
This paper proposes a novel approach to the visualization of complex, but interrelated, sets of information to ease user cognition. Principally, it explores the potential of provi...
120
Voted
ICML
2003
IEEE
16 years 3 months ago
2003
IEEE
We present metric?? , a provably near-optimal algorithm for reinforcement learning in Markov decision processes in which there is a natural metric on the state space that allows t...
114
Voted
ICIAP
2005
ACM
16 years 2 months ago
2005
ACM
As the accuracy of conventional classifiers, based only on a static partitioning of feature space, appears to be approaching a limit, it may be useful to consider alternative appro...