2100 search results - page 59 / 420 » Learning to rank on graphs |
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SIGIR
2011
ACM
14 years 18 days ago
2011
ACM
We study how to best use crowdsourced relevance judgments learning to rank [1, 7]. We integrate two lines of prior work: unreliable crowd-based binary annotation for binary classi...
MEDES
2009
ACM
15 years 2 months ago
2009
ACM
The main goal of web pages ranking is to find the interrelated pages. In this paper, we introduce an algorithm called FPR-DLA. In the proposed method learning automata is assigned...
SIGIR
2006
ACM
15 years 3 months ago
2006
ACM
We introduce a novel approach to combining rankings from multiple retrieval systems. We use a logistic regression model or an SVM to learn a ranking from pairwise document prefere...
ADMA
2005
Springer
15 years 3 months ago
2005
Springer
Accurate probability-based ranking of instances is crucial in many real-world data mining applications. KNN (k-nearest neighbor) [1] has been intensively studied as an effective c...
DASFAA
2005
IEEE
15 years 3 months ago
2005
IEEE
Naive Bayes has been widely used in data mining as a simple and effective classification algorithm. Since its conditional independence assumption is rarely true, numerous algorit...