38 search results - page 3 / 8 » Learning Binary Relations Using Weighted Majority Voting |
ICPR
2008
IEEE
15 years 10 months ago
2008
IEEE
We outline an incremental learning algorithm designed for nonstationary environments where the underlying data distribution changes over time. With each dataset drawn from a new e...
92
Voted
COLT
1999
Springer
15 years 1 months ago
1999
Springer
We focus on methods to solve multiclass learning problems by using only simple and efficient binary learners. We investigate the approach of Dietterich and Bakiri [2] based on er...
SIGIR
2012
ACM
12 years 12 months ago
2012
ACM
In crowdsourced relevance judging, each crowd worker typically judges only a small number of examples, yielding a sparse and imbalanced set of judgments in which relatively few wo...
84
Voted
ALGORITHMICA
2010
14 years 9 months ago
2010
We divide a string into k segments, each with only one sort of symbols, so as to minimize the total number of exceptions. Motivations come from machine learning and data mining. F...
EMNLP
2010
14 years 7 months ago
2010
Confidence-Weighted linear classifiers (CW) and its successors were shown to perform well on binary and multiclass NLP problems. In this paper we extend the CW approach for sequen...