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KDD
2002
ACM
179views Data Mining» more  KDD 2002»
14 years 8 months ago
Combining clustering and co-training to enhance text classification using unlabelled data
In this paper, we present a new co-training strategy that makes use of unlabelled data. It trains two predictors in parallel, with each predictor labelling the unlabelled data for...
Bhavani Raskutti, Herman L. Ferrá, Adam Kow...
WEBI
2009
Springer
14 years 2 months ago
From "Dango" to "Japanese Cakes": Query Reformulation Models and Patterns
Understanding query reformulation patterns is a key step towards next generation web search engines: it can help improving users’ web-search experience by predicting their inten...
Paolo Boldi, Francesco Bonchi, Carlos Castillo, Se...
ICWE
2009
Springer
14 years 2 months ago
Personal News RSS Feeds Generation Using Existing News Feeds
Nowadays more and more news sites publish news stories using news RSS feeds for easier access and subscription on the Web. Generally, news stories are grouped by several categories...
Bin Liu, Hao Han, Tomoya Noro, Takehiro Tokuda
CCGRID
2006
IEEE
14 years 1 months ago
PhoenixG: A Unified Management Framework for Industrial Information Grid
Industrial Information Grid (IIG) is a special kind of Grid system, the users of which exclusively own geographically distributed resources for Web service applications and try to...
Jianfeng Zhan, Gengpu Liu, Lei Wang, Bibo Tu, Yi J...
ECML
2005
Springer
14 years 1 months ago
Learning from Positive and Unlabeled Examples with Different Data Distributions
Abstract. We study the problem of learning from positive and unlabeled examples. Although several techniques exist for dealing with this problem, they all assume that positive exam...
Xiaoli Li, Bing Liu