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AUSAI
2004
Springer
15 years 10 months ago
A Bayesian Metric for Evaluating Machine Learning Algorithms
How to assess the performance of machine learning algorithms is a problem of increasing interest and urgency as the data mining application of myriad algorithms grows. The standard...
Lucas R. Hope, Kevin B. Korb
ECCV
2010
Springer
15 years 8 months ago
Max-Margin Dictionary Learning for Multiclass Image Categorization
Abstract. Visual dictionary learning and base (binary) classifier training are two basic problems for the recently most popular image categorization framework, which is based on t...
CORR
2006
Springer
127views Education» more  CORR 2006»
15 years 4 months ago
Semi-Supervised Learning -- A Statistical Physics Approach
We present a novel approach to semisupervised learning which is based on statistical physics. Most of the former work in the field of semi-supervised learning classifies the point...
Gad Getz, Noam Shental, Eytan Domany
122
Voted
PLPV
2009
ACM
16 years 1 months ago
Type invariants for Haskell
Haskell’s multi-parameter type classes, together with functional dependencies, allow the specification of complex type-level opera
Tom Schrijvers, Louis-Julien Guillemette, Stefan M...
ML
2006
ACM
15 years 4 months ago
Relational IBL in classical music
It is well known that many hard tasks considered in machine learning and data mining can be solved in a rather simple and robust way with an instanceand distance-based approach. In...
Asmir Tobudic, Gerhard Widmer