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» On the monotonization of the training set
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GOSLER
1995
15 years 4 months ago
A Guided Tour Across the Boundaries of Learning Recursive Languages
The present paper deals with the learnability of indexed families of uniformly recursive languages from positive data as well as from both, positive and negative data. We consider...
Thomas Zeugmann, Steffen Lange
92
Voted
IJCAI
2007
15 years 2 months ago
Learning from Partial Observations
We present a general machine learning framework for modelling the phenomenon of missing information in data. We propose a masking process model to capture the stochastic nature of...
Loizos Michael
93
Voted
COMBINATORICS
1998
89views more  COMBINATORICS 1998»
15 years 7 days ago
Venn Diagrams with Few Vertices
An n-Venn diagram is a collection of n finitely-intersecting simple closed curves in the plane, such that each of the 2n sets X1 ∩X2 ∩· · ·∩Xn, where each Xi is the open...
Bette Bultena, Frank Ruskey
81
Voted
PR
2002
85views more  PR 2002»
15 years 5 days ago
An incremental prototype set building technique
This paper deals with the task of "nding a set of prototypes from the training set. A reduced set is obtained which is used instead of the training set when nearest neighbour...
V. Susheela Devi, M. Narasimha Murty
GECCO
2008
Springer
137views Optimization» more  GECCO 2008»
15 years 1 months ago
Informative sampling for large unbalanced data sets
Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...
Zhenyu Lu, Anand I. Rughani, Bruce I. Tranmer, Jos...