Modeling and predicting retweeting dynamics via a mixture process Jinhua Gao, Huawei Shen, Shenghua Liu and Xueqi Cheng , {shenhuawei, liushenghua, cxq}@ict.ac.cn CAS Key Laboratory of Network

Source URL: gdac.uqam.ca

• Digital media
• Social networking services
• World Wide Web
• Software
• Microblogging
• Real-time web
• Blogging
• Facebook
• Reblogging
• Social media
• Twitter
• Economic model

Modeling and Analyzing Faults to Improve Election Process Robustness Borislava I. Simidchieva UMass Amherst ∗ bis Sean Peisert

Source URL: static.usenix.org

Modeling High-Dimensional Humans for Activity Anticipation using Gaussian Process Latent CRFs Yun Jiang and Ashutosh Saxena Department of Computer Science, Cornell University, USA. Email:{yunjiang,asaxena}@cs.cornell.edu

Source URL: pr.cs.cornell.edu

Modeling High-Dimensional Humans for Activity Anticipation using Gaussian Process Latent CRFs Yun Jiang and Ashutosh Saxena Department of Computer Science, Cornell University, USA. Email:{yunjiang,asaxena}@cs.cornell.edu

Source URL: www.cs.cornell.edu

GEOPHYSICAL RESEARCH LETTERS, VOL. 31, L21603, doi:2004GL021457, 2004 Modeling the rupture process of the 2003 September 25 Tokachi-Oki (Hokkaido) earthquake using 1-Hz GPS data Shin’ichi Miyazaki,1,2 Kristine

Source URL: earthsci.stanford.edu

Neuro-fuzzy Techniques Used for Steady State Modeling of pH Neutralization Process SANDA FLORENTINA MIHALACHE*, MARIAN POPESCU, GABRIEL RADULESCU Petroleum-Gas University of Ploiesti, Control Engineering, Computers and E

Source URL: revistadechimie.ro

STUDIA UNIVERSITATIS BABEŞ-BOLYAI, CHEMIA, LIV, 3, 2009 MATHEMATICAL MODELING FOR THE CRYSTALLIZATION PROCESS OF HYDROXYAPATITE OBTAINED BY PRECIPITATION IN AQUEOUS SOLUTION VALENTINA R. DEJEUa, BARABÁS RÉKAa, POP AL

Source URL: adatbank.transindex.ro

From Spraying Systems Co. Optimizing Spray Performance with Process Modeling

Source URL: www.spray.com

Extracting Constraints for Process Modeling Will Bridewell ∗ Stuart R. Borrett

Source URL: cll.stanford.edu

Cross-Domain Transfer of Constraints for Inductive Process Modeling Will Bridewell Ljupˇco Todorovski Computational Learning Laboratory, CSLI,

Source URL: cll.stanford.edu