8 search results - page 1 / 2 » Learning with Class Skews and Small Disjuncts |
SBIA
2004
Springer
13 years 10 months ago
2004
Springer
One of the main objectives of a Machine Learning – ML – system is to induce a classifier that minimizes classification errors. Two relevant topics in ML are the understanding...
ICML
1995
IEEE
13 years 8 months ago
1995
IEEE
Systems that learn from examples often create a disjunctive concept definition. Small disjuncts are those disjuncts which cover only a few training examples. The problem with sma...
KI
2006
Springer
13 years 4 months ago
2006
Springer
In this paper, we examine the performance of the two policies for keyword selection over standard document corpora of varying properties. While in corpus-based policy a single set ...
COLT
2007
Springer
13 years 11 months ago
2007
Springer
We prove that the concept class of disjunctions cannot be pointwise approximated by linear combinations of any small set of arbitrary real-valued functions. That is, suppose there ...
CC
2010
Springer
13 years 2 months ago
2010
Springer
We prove that the concept class of disjunctions cannot be pointwise approximated by linear combinations of any small set of arbitrary real-valued functions. That is, suppose that t...