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Travelled to:
1 × Canada
1 × Italy
8 × USA
Collaborated with:
Y.Mansour S.P.Singh L.G.Valiant M.Li S.Kakade J.Langford T.G.Dietterich D.Ron R.Rubinfeld R.E.Schapire L.Sellie K.Myers M.A.Walker L.Pitt A.Blum M.L.Furst J.C.Jackson S.Rudich Y.Freund
Talks about:
learn (9) algorithm (2) learnabl (2) automata (2) statist (2) formula (2) boolean (2) effici (2) queri (2) optim (2)

Person: Michael J. Kearns

DBLP DBLP: Kearns:Michael_J=

Contributed to:

ICML 20032003
ICML 20002000
ICML 19981998
ICML 19961996
STOC 19961996
STOC 19941994
STOC 19931993
STOC 19891989
STOC 19881988
STOC 19871987

Wrote 13 papers:

ICML-2003-KakadeKL #metric
Exploration in Metric State Spaces (SK, MJK, JL), pp. 306–312.
ICML-2000-MyersKSW #approach #topic
A Boosting Approach to Topic Spotting on Subdialogues (KM, MJK, SPS, MAW), pp. 655–662.
ICML-1998-KearnsM #algorithm #bottom-up #performance
A Fast, Bottom-Up Decision Tree Pruning Algorithm with Near-Optimal Generalization (MJK, YM), pp. 269–277.
ICML-1998-KearnsS #learning
Near-Optimal Reinforcement Learning in Polynominal Time (MJK, SPS), pp. 260–268.
ICML-1996-DietterichKM #framework #learning
Applying the Waek Learning Framework to Understand and Improve C4.5 (TGD, MJK, YM), pp. 96–104.
STOC-1996-KearnsM #algorithm #learning #on the #top-down
On the Boosting Ability of Top-Down Decision Tree Learning Algorithms (MJK, YM), pp. 459–468.
STOC-1994-BlumFJKMR #analysis #fourier #learning #query #statistics #using
Weakly learning DNF and characterizing statistical query learning using Fourier analysis (AB, MLF, JCJ, MJK, YM, SR), pp. 253–262.
STOC-1994-KearnsMRRSS #on the
On the learnability of discrete distributions (MJK, YM, DR, RR, RES, LS), pp. 273–282.
STOC-1993-FreundKRRSS #automaton #finite #learning #performance #random
Efficient learning of typical finite automata from random walks (YF, MJK, DR, RR, RES, LS), pp. 315–324.
STOC-1993-Kearns #learning #performance #query #statistics
Efficient noise-tolerant learning from statistical queries (MJK), pp. 392–401.
STOC-1989-KearnsV #automaton #encryption #finite #learning
Cryptographic Limitations on Learning Boolean Formulae and Finite Automata (MJK, LGV), pp. 433–444.
STOC-1988-KearnsL #fault #learning
Learning in the Presence of Malicious Errors (MJK, ML), pp. 267–280.
STOC-1987-KearnsLPV #on the
On the Learnability of Boolean Formulae (MJK, ML, LP, LGV), pp. 285–295.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
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