A Neural Conversational Model
arXiv:1506.05869v3 [cs.CL] 22 Jul 2015 A Neural Conversational Model Oriol Vinyals VINYALS@GOOGLE.COM Google Quoc V. Le QVL@GOOGLE.COM Google Abstract Conversational modeling is an important task in natural language understanding and machine in- telligence. Although previous approaches ex- ist, they are often restricted to specific domains (e.g., booking an airline ticket) and require hand- crafte
Enterprise Database Applications and the Cloud: A Difficult Road Ahead
Enterprise Database Applications and the Cloud: A Difficult Road Ahead Michael Stonebraker MIT CSAIL stonebraker@csail.mit.edu Andrew Pavlo Carnegie Mellon University [email protected] Rebecca Taft MIT CSAIL rytaft@mit.edu Michael L. Brodie MIT CSAIL mlbrodie@mit.edu Abstract—There is considerable interest in moving DBMS applications from inside enterprise data centers to the cloud, both to reduce
Sequence to Sequence Learning with Neural Networks
Deep Neural Networks (DNNs) are powerful models that have achieved excellent performance on difficult learning tasks. Although DNNs work well whenever large labeled training sets are available, they cannot be used to map sequences to sequences. In this paper, we present a general end-to-end approach to sequence learning that makes minimal assumptions on the sequence structure. Our method uses a mu
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NIPS 2003 Proceedings
Advances in Neural Information Processing Systems 16 (NIPS 2003) The papers below appear in Advances in Neural Information Processing Systems 16 edited by S. Thrun and L.K. Saul and B. Schölkopf. They are proceedings from the conference, "Neural Information Processing Systems 2003." Efficient Multiscale Sampling from Products of Gaussian Mixtures Alexander T. Ihler, Erik B. Sudderth, William T. Fr
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https://kaigi.org/jsai/webprogram/2013/pdf/497.pdf
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LIGAEPL Bandar Judi Bola dan Agen Sbobet Resmi Terpercaya di Indonesia
Distributed Online Clustering using LSH over Multiple Data Streams Alok Kumbhare Department of Computer Science University of Southern California Los Angeles, CA 90007 
http://www.cc.gatech.edu/~lingliu/papers/2013/Cura-ipdps2013.pdf
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https://services.google.com/fh/files/blogs/geo_experiments_final_version.pdf
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