Singapore National Research Foundation under International Research Centre @ Singapore Funding Initiativ
An ever increasing volume of data is nowadays becoming available in a streaming manner in many appli...
124 pagesThis dissertation focuses on sequential decision making for active learning and inference i...
Active learning and domain adaptation are both important tools for reducing labeling effort to learn...
National Research Foundation (NRF) Singapore under IDM Futures Funding Initiativ
Singapore National Research Foundation under International Research Centre @ Singapore Funding Initi...
Online Active Learning (OAL) has been an important research area in machine learning, which aims to ...
Abstract We investigate online active learning techniques for classification tasks in data stream mi...
AbstractActive learning for collaborative filtering tasks draws many attentions from the research co...
PhD thesisMany practical problems such as forecasting, real-time decisionmaking, streaming data appl...
We compare the practical performance of several recently proposed algorithms for active learning in ...
National Research Foundation (NRF) Singapore under International Research Centres in Singapore Fundi...
We compare the practical performance of several recently proposed algorithms for active learning in ...
This paper presents a rigorous statistical analysis characterizing regimes in which active learning ...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer...
This paper presents a rigorous statistical analysis characterizing regimes in which active learning ...
An ever increasing volume of data is nowadays becoming available in a streaming manner in many appli...
124 pagesThis dissertation focuses on sequential decision making for active learning and inference i...
Active learning and domain adaptation are both important tools for reducing labeling effort to learn...
National Research Foundation (NRF) Singapore under IDM Futures Funding Initiativ
Singapore National Research Foundation under International Research Centre @ Singapore Funding Initi...
Online Active Learning (OAL) has been an important research area in machine learning, which aims to ...
Abstract We investigate online active learning techniques for classification tasks in data stream mi...
AbstractActive learning for collaborative filtering tasks draws many attentions from the research co...
PhD thesisMany practical problems such as forecasting, real-time decisionmaking, streaming data appl...
We compare the practical performance of several recently proposed algorithms for active learning in ...
National Research Foundation (NRF) Singapore under International Research Centres in Singapore Fundi...
We compare the practical performance of several recently proposed algorithms for active learning in ...
This paper presents a rigorous statistical analysis characterizing regimes in which active learning ...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer...
This paper presents a rigorous statistical analysis characterizing regimes in which active learning ...
An ever increasing volume of data is nowadays becoming available in a streaming manner in many appli...
124 pagesThis dissertation focuses on sequential decision making for active learning and inference i...
Active learning and domain adaptation are both important tools for reducing labeling effort to learn...
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