Travelled to:1 × Canada
1 × France
1 × Italy
1 × Japan
1 × Sweden
1 × Turkey
2 × China
2 × Germany
2 × United Kingdom
5 × USA
Collaborated with:F.Nielsen M.Sebban P.Laur J.Symphor P.Jappy O.Gascuel M.Barlaud E.Briys W.B.H.Ali P.Lefaucheur P.Poncelet V.Pagé P.Piro G.Patrini A.Friedman S.Lallich B.Magdalou J.Janodet H.Suchier D.Giampaglia T.Pourcher
Talks about:boost (5) classif (3) learn (3) data (3) frequent (2) classifi (2) statist (2) itemset (2) stream (2) robust (2)
Person: Richard Nock
DBLP: Nock:Richard
Contributed to:
2015
201420122011201020062006
2005
200520042004200420012000199819961995
2013Wrote 18 papers:
- ICML-2015-NockPF
- Rademacher Observations, Private Data, and Boosting (RN, GP, AF), pp. 948–956.
- ICPR-2014-AliNB #classification #constraints #image #probability #scalability
- Boosting Stochastic Newton with Entropy Constraint for Large-Scale Image Classification (WBHA, RN, MB), pp. 232–237.
- ICPR-2012-AliGBPNP #biology #classification #using
- Classification of biological cells using bio-inspired descriptors (WBHA, DG, MB, PP, RN, TP), pp. 3353–3357.
- ICML-2011-NockMBN #adaptation #on the
- On tracking portfolios with certainty equivalents on a generalization of Markowitz model: the Fool, the Wise and the Adaptive (RN, BM, EB, FN), pp. 73–80.
- ICPR-2010-PiroNNB #classification
- Boosting Bayesian MAP Classification (PP, RN, FN, MB), pp. 661–665.
- ICPR-v3-2006-NockLS #incremental #mining #statistics
- Statistical Borders for Incremental Mining (RN, PAL, JES), pp. 212–215.
- ICPR-v4-2006-LefaucheurN #classification #multi #robust #symmetry
- Robust Multiclass Ensemble Classifiers via Symmetric Functions (PL, RN), pp. 136–139.
- CIKM-2005-LaurNSP #data type #estimation #on the
- On the estimation of frequent itemsets for data streams: theory and experiments (PAL, RN, JES, PP), pp. 327–328.
- MLDM-2005-LaurSNP #data type #statistics
- Statistical Supports for Frequent Itemsets on Data Streams (PAL, JES, RN, PP), pp. 395–404.
- ICML-2004-JanodetNSS #grammar inference
- Boosting grammatical inference with confidence oracles (JCJ, RN, MS, HMS).
- ICPR-v2-2004-NockP #bias #estimation
- Grouping with Bias for Distribution-Free Mixture Model Estimation (RN, VP), pp. 44–47.
- ICPR-v4-2004-NockN #algorithm #clustering #optimisation
- Improving Clustering Algorithms through Constrained Convex Optimization (RN, FN), pp. 557–560.
- ICML-2001-SebbanNL #classification
- Boosting Neighborhood-Based Classifiers (MS, RN, SL), pp. 505–512.
- ICML-2000-SebbanN #problem
- Instance Pruning as an Information Preserving Problem (MS, RN), pp. 855–862.
- ICML-1998-NockJ #on the #power of
- On the Power of Decision Lists (RN, PJ), pp. 413–420.
- ICML-1996-JappyNG #horn clause #learning #robust #source code
- Negative Robust Learning Results from Horn Clause Programs (PJ, RN, OG), pp. 258–265.
- ICML-1995-NockG #learning #on the
- On Learning Decision Committees (RN, OG), pp. 413–420.
- JCDL-2013-NockNB #geometry #learning #library
- Non-linear book manifolds: learning from associations the dynamic geometry of digital libraries (RN, FN, EB), pp. 313–322.