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PAKDD
2010
ACM
169views Data Mining» more  PAKDD 2010»
14 years 1 months ago
oddball: Spotting Anomalies in Weighted Graphs
Given a large, weighted graph, how can we find anomalies? Which rules should be violated, before we label a node as an anomaly? We propose the OddBall algorithm, to find such nod...
Leman Akoglu, Mary McGlohon, Christos Faloutsos
LWA
2008
13 years 10 months ago
Weighted Voting as Approximate MAP Prediction in Pairwise Classification
Weighted voting is the commonly used strategy for combining predictions in pairwise classification. Even though it shows excellent performance in practice, it is often criticized ...
Eyke Hüllermeier, Stijn Vanderlooy
ACL
2006
13 years 10 months ago
Factorizing Complex Models: A Case Study in Mention Detection
As natural language understanding research advances towards deeper knowledge modeling, the tasks become more and more complex: we are interested in more nuanced word characteristi...
Radu Florian, Hongyan Jing, Nanda Kambhatla, Imed ...
EMNLP
2010
13 years 6 months ago
Confidence in Structured-Prediction Using Confidence-Weighted Models
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...
Avihai Mejer, Koby Crammer
ICTIR
2009
Springer
13 years 6 months ago
Training Data Cleaning for Text Classification
Abstract. In text classification (TC) and other tasks involving supervised learning, labelled data may be scarce or expensive to obtain; strategies are thus needed for maximizing t...
Andrea Esuli, Fabrizio Sebastiani