Travelled to:
1 × Brazil
1 × China
1 × United Kingdom
2 × Canada
4 × USA
Collaborated with:
K.Chellapilla N.D.Lawrence P.Y.Simard D.Steinkraus N.P.Matic T.Wang B.Chandramouli J.Goldstein M.Barnett R.DeLine D.Zhou Q.Liu C.Meek Y.Zhang A.C.Surendran M.Narasimhan S.T.Dumais D.Hecherman M.Sahami H.J.Wang Y.Chen R.Zhang Y.Wang J.F.Terwilliger J.Wernsing S.M.Drucker D.Fisher P.Morrison
Talks about:
learn (4) increment (2) document (2) vector (2) analyt (2) troubleshoot (1) misconfigur (1) represent (1) processor (1) algorithm (1)
Person: John C. Platt
DBLP: Platt:John_C=
Contributed to:
Wrote 10 papers:
- VLDB-2015-ChandramouliGBDPTW14 #incremental #named #query
- Trill: A High-Performance Incremental Query Processor for Diverse Analytics (BC, JG, MB, RD, JCP, JFT, JW), pp. 401–412.
- ICML-c2-2014-ZhouLPM
- Aggregating Ordinal Labels from Crowds by Minimax Conditional Entropy (DZ, QL, JCP, CM), pp. 262–270.
- SIGMOD-2013-BarnettCDDFGMP #big data #exclamation #interactive
- Stat!: an interactive analytics environment for big data (MB, BC, RD, SMD, DF, JG, PM, JCP), pp. 1013–1016.
- KDD-2008-ZhangSPN #documentation #learning #multi #topic #web
- Learning from multi-topic web documents for contextual advertisement (YZ, ACS, JCP, MN), pp. 1051–1059.
- ICDAR-2007-ChellapillaP #retrieval #robust
- Redundant Bit Vectors for Robust Indexing and Retrieval of Electronic Ink (KC, JCP), pp. 387–391.
- ICML-2004-LawrenceP #learning
- Learning to learn with the informative vector machine (NDL, JCP).
- OSDI-2004-WangPCZW #automation
- Automatic Misconfiguration Troubleshooting with PeerPressure (HJW, JCP, YC, RZ, YMW), pp. 245–258.
- ICDAR-2003-SimardSP #analysis #documentation #network #visual notation
- Best Practices for Convolutional Neural Networks Applied to Visual Document Analysis (PYS, DS, JCP), pp. 958–962.
- ICPR-v3-2002-MaticPW #incremental #named #online #recognition
- QuickStroke: An Incremental On-Line Chinese Handwriting Recognition System (NPM, JCP, TW), pp. 435–439.
- CIKM-1998-DumaisPHS #algorithm #categorisation #induction #learning
- Inductive Learning Algorithms and Representations for Text Categorization (STD, JCP, DH, MS), pp. 148–155.