<--- Back to Details
First PageDocument Content
Machine learning / Artificial intelligence / Learning / Statistical classification / Cognition / Natural language processing / Semi-supervised learning / Co-training / Supervised learning / Domain adaptation / Sentiment analysis / Support vector machine
Date: 2011-07-02 16:22:38
Machine learning
Artificial intelligence
Learning
Statistical classification
Cognition
Natural language processing
Semi-supervised learning
Co-training
Supervised learning
Domain adaptation
Sentiment analysis
Support vector machine

Filling the Gap: Semi-Supervised Learning for Opinion Detection Across Domains Abstract We investigate the use of Semi-Supervised Learning (SSL) in opinion detection both in

Add to Reading List

Source URL: cl.indiana.edu

Download Document from Source Website

File Size: 368,62 KB

Share Document on Facebook

Similar Documents

Task Learning through Visual Demonstration and Situated Dialogue Changsong Liu and Joyce Y. Chai Nishant Shukla and Song-Chun Zhu  Department of Computer Science and Engineering Center for Vision, Cognition, Learning and

Task Learning through Visual Demonstration and Situated Dialogue Changsong Liu and Joyce Y. Chai Nishant Shukla and Song-Chun Zhu Department of Computer Science and Engineering Center for Vision, Cognition, Learning and

DocID: 1xUvD - View Document

Cognition xxxxxx–xxx  Contents lists available at ScienceDirect Cognition journal homepage: www.elsevier.com/locate/COGNIT

Cognition xxxxxx–xxx Contents lists available at ScienceDirect Cognition journal homepage: www.elsevier.com/locate/COGNIT

DocID: 1xUdE - View Document

Learning Human Utility from Video Demonstrations for Deductive Planning in Robotics Nishant Shukla, Yunzhong He, Frank Chen, and Song-Chun Zhu Center for Vision, Cognition, Learning, and Autonomy University of California

Learning Human Utility from Video Demonstrations for Deductive Planning in Robotics Nishant Shukla, Yunzhong He, Frank Chen, and Song-Chun Zhu Center for Vision, Cognition, Learning, and Autonomy University of California

DocID: 1xU6D - View Document

arXiv:1805.03418v1 [cs.SC] 9 MayComputing an LLL-reduced basis of the orthogonal lattice Jingwei Chen Chongqing Key Lab of Automated Reasoning & Cognition,

arXiv:1805.03418v1 [cs.SC] 9 MayComputing an LLL-reduced basis of the orthogonal lattice Jingwei Chen Chongqing Key Lab of Automated Reasoning & Cognition,

DocID: 1xU0M - View Document

Theory Learning and Logical Rule Induction with Neural Theorem Proving  Andres Campero 1 Aldo Pareja 2 Tim Klinger 2 Josh Tenenbaum 1 Sebastian Riedel 3 1. Introduction A hallmark of human cognition is the ability to con

Theory Learning and Logical Rule Induction with Neural Theorem Proving Andres Campero 1 Aldo Pareja 2 Tim Klinger 2 Josh Tenenbaum 1 Sebastian Riedel 3 1. Introduction A hallmark of human cognition is the ability to con

DocID: 1xTV7 - View Document