Sciweavers

572 search results - page 5 / 115
» Estimating the Accuracy of Learned Concepts
Sort
View
CORR
2002
Springer
95views Education» more  CORR 2002»
14 years 9 months ago
Types of Cost in Inductive Concept Learning
Inductive concept learning is the task of learning to assign cases to a discrete set of classes. In real-world applications of concept learning, there are many different types of ...
Peter D. Turney
ICASSP
2011
IEEE
14 years 1 months ago
Trading off communications bandwidth with accuracy in adaptive diffusion networks
In this paper, a novel algorithm for bandwidth reduction in adaptive distributed learning is introduced. We deal with diffusion networks, in which the nodes cooperate with each ot...
Symeon Chouvardas, Konstantinos Slavakis, Sergios ...
MM
2006
ACM
152views Multimedia» more  MM 2006»
15 years 3 months ago
Multimodal fusion using learned text concepts for image categorization
Conventional image categorization techniques primarily rely on low-level visual cues. In this paper, we describe a multimodal fusion scheme which improves the image classification...
Qiang Zhu, Mei-Chen Yeh, Kwang-Ting Cheng
KDD
2004
ACM
164views Data Mining» more  KDD 2004»
15 years 10 months ago
Cluster-based concept invention for statistical relational learning
We use clustering to derive new relations which augment database schema used in automatic generation of predictive features in statistical relational learning. Clustering improves...
Alexandrin Popescul, Lyle H. Ungar
ICDM
2003
IEEE
220views Data Mining» more  ICDM 2003»
15 years 2 months ago
Exploiting Unlabeled Data for Improving Accuracy of Predictive Data Mining
Predictive data mining typically relies on labeled data without exploiting a much larger amount of available unlabeled data. The goal of this paper is to show that using unlabeled...
Kang Peng, Slobodan Vucetic, Bo Han, Hongbo Xie, Z...