Browsing by Author "Zhu, Xiaojin"
Now showing items 6-9 of 9
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The Multimodal Focused Topic Model: A Nonparametric Bayesian Approach to Simultaneous Object Classification and Attribute Discovery
Zhu, Xiaojin; Dyer, Charles R.; Rosin, Jake (2012-01)A nonparametric Bayesian model for attribute-based object recognition and image-based class attribute inference is presented. This model draws on existing work in Bayesian nonparametrics such as the focused topic model. ... -
Semi-supervised Regression with Order Preferences
Zhu, Xiaojin; Goldberg, Andrew (University of Wisconsin-Madison Department of Computer Sciences, 2006)Following a discussion on the general form of regularization for semi-supervised learning, we propose a semi-supervised regression algorithm. It is based on the assumption that we have certain order preferences on unlabeled ... -
Some Submodular Data-Poisoning Attacks on Machine Learners
Mei, Shike; Zhu, Xiaojin (2017-03-08)We study data-poisoning attacks using a machine teaching framework. For a family of NP-hard attack problems we pose them as submodular function maximization, thereby inheriting efficient greedy algorithms with theoretical ... -
To Join or Not to Join? Thinking Twice about Joins before Feature Selection
Kumar, Arun; Naughton, Jeffrey; Patel, Jignesh M.; Zhu, Xiaojin (2015-11-27)Closer integration of machine learning (ML) with data processing is a booming area in both the data management industry and academia. Almost all ML toolkits assume that the input is a single table, but many datasets are ...