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Toward Interpretable Topic Discovery via Anchored Correlation Explanation.

, , , and . (2016)cite arxiv:1606.07043Comment: presented at 2016 ICML Workshop on #Data4Good: Machine Learning in Social Good Applications, New York, NY.

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Threshold Behavior in a Boolean Network Model for SAT., , and . IC-AI, page 87-92. CSREA Press, (2003)Statistical Tests for Contagion in Observational Social Network Studies., and . AISTATS, volume 31 of JMLR Workshop and Conference Proceedings, page 563-571. JMLR.org, (2013)A Review of Probabilistic Macroscopic Models for Swarm Robotic Systems, , and . Swarm Robotics, volume 3342 of Lecture Notes in Computer Science, chapter 12, Springer Berlin / Heidelberg, Berlin, Heidelberg, (2005)Modeling and mathematical analysis of swarms of microscopic robots., , and . SIS, page 201-208. IEEE, (2005)Mixed Membership Blockmodels for Dynamic Networks with Feedback., , and . Handbook of Mixed Membership Models and Their Applications, Chapman and Hall/CRC, (2014)Scalable Temporal Latent Space Inference for Link Prediction in Dynamic Social Networks., , , , and . IEEE Trans. Knowl. Data Eng., 28 (10): 2765-2777 (2016)Modeling Temporal Activity Patterns in Dynamic Social Networks, , , and . CoRR, (2013)Tripartite graph clustering for dynamic sentiment analysis on social media., , , and . SIGMOD Conference, page 1531-1542. ACM, (2014)Resource allocation games with changing resource capacities., , and . AAMAS, page 145-152. ACM, (2003)Relative value of diverse brain MRI and blood-based biomarkers for predicting cognitive decline in the elderly., , , , , , , , , and . Medical Imaging: Image Processing, volume 9784 of SPIE Proceedings, page 978411. SPIE, (2016)