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20 April 2024

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Results 1 to 20 of 5'273 for query "J.Learned". (0.01 sec.)

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Unsupervised Learning in a Framework of Information Compression by Multiple Alignment, Unification and Search
J. G. Wolff;
12 Feb 2003

Lyman alpha emission in starbursts: implications for galaxies at high redshift
J.M. Mas-Hesse; D. Kunth; G. Tenorio-Tagle; C. Leitherer; R.J. Terlevich; E. Terlevich;
15 Sep 2003 / Astrophys.J. 598 (2003) 858-877

Design of an Electro-Hydraulic System Using Neuro-Fuzzy Techniques
P. J. Costa Branco; J. A. Dente;
30 Sep 2000 / In: Fusion of Neural Networks, Fuzzy Sets & Genetic Algorithms: Industrial Applications, Chapter 4, CRC Press, Boca Raton, Florida, USA., 1999

Noise Effects in Fuzzy Modelling Systems
P. J. Costa Branco; J. A. Dente;
30 Sep 2000 / In: Computational Intelligence and Applications, pp. 103-108, World Scientific and Engineering Society Press, Danvers, USA, 1999

Learning-induced LTP in neocortex
M S Rioult-Pedotti; D Friedman; J P Donoghue;
20 Oct 2000 / Science, 290 (5491), 533-6

Unsupervised Grammar Induction in a Framework of Information Compression by Multiple Alignment, Unification and Search
J Gerard Wolff;
27 Nov 2003 / Proceedings of the Workshop and Tutorial on Learning Context-Free Grammars (in association with the 14th European Conference on Machine Learning and the 7th European Conference on Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2

Non-Deterministic Learning Dynamics in Large Neural Networks due to Structural Data Bias
H.C. Rae; J.A.F. Heimel; A.C.C. Coolen;
13 Jul 2000 / J.Phys.A. 33 (2000) 8703-8722

Preference Learning in Terminology Extraction: A ROC-based approach
Jérôme Azé; Mathieu Roche; Yves Kodratoff; Michèle Sebag; PostScript; PDF; Other formats;
13 Dec 2005

The phase function for stellar acoustic oscillations - IV. Solar-like stars
F. Perez Hernandez; J. Christensen-Dalsgaard;
6 Jun 1997 / Mon.Not.Roy.Astron.Soc. 295 (1998) 344-352

10.

Content-Based Book Recommending Using Learning for Text Categorization
Raymond J. Mooney; Loriene Roy;
7 Feb 1999

11.

Strangeness and Quark Gluon Plasma
J. Rafelski; J. Letessier;
25 May 2003 / J.Phys. G30 (2004) S1-S28

12.

Double Beta Decay
S.R. Elliott; J. Engel;
10 May 2004 / J.Phys. G30 (2004) R183

13.

Prospects for Determining the Equation of State of the Dark Energy: What can be Learned from Multiple Observables?
Jens Kujat; Angela M. Linn; Robert J. Scherrer; David H. Weinberg;
10 Dec 2001 / Astrophys.J. 572 (2002) 1-14

14.

What can we learn from comparison between cuprates and He films ? : phase separation and fluctuating superfluidity
Y.J. Uemura;
1 Dec 2000 / Int. J. Mod. Phys. B 14 (2000) 3703-3710.

15.

A multifractal phase-space analysis of perceptrons with biased patterns
J. Berg; A.Engel;
15 Oct 1997 / J. Phys. A: Math. Gen 31 (1998) 2509-2517

16.

Learning Physics from the Machine: An Interpretable Boosted Decision Tree Analysis for the Majorana Demonstrator
I.J. Arnquist; F.T. Avignone III; A.S. Barabash; C.J. Barton; K.H. Bhimani; E. Blalock; B. Bos; M. Busch; M. Buuck; T.S. Caldwell; Y-D. Chan; C.D. Christofferson; P.-H. Chu; M.L. Clark; C. Cuesta; J.A. Detwiler; Yu. Efremenko; S.R. Elliott; G.K. Giovanetti; M.P. Green; J. Gruszko; I.S. Guinn; V.E. Guiseppe; C.R. Haufe; R. Henning; D. Hervas Aguilar; E.W. Hoppe; A. Hostiuc; M.F. Kidd; I. Kim; R.T. Kouzes; T.E. Lannen V; A. Li; J.M. Lopez-Castano; E.L. Martin; R.D. Martin; R. Massarczyk; S.J. Meijer; T.K. Oli; G. Othman; L.S. Paudel; W. Pettus; A.W.P. Poon; D.C. Radford; A.L. Reine; K. Rielage; N.W. Ruof; D.C. Schaper; D. Tedeschi; R.L. Varner; S. Vasilyev; J.F. Wilkerson; C. Wiseman; W. Xu; C.-H. Yu;
21 Jul 2022

17.

Euclid preparation: XXIII. Derivation of galaxy physical properties with deep machine learning using mock fluxes and H-band images
Euclid Collaboration; L. Bisigello; C.J. Conselice; M. Baes; M. Bolzonella; M. Brescia; S. Cavuoti; O. Cucciati; A. Humphrey; L. K. Hunt; C. Maraston11; L. Pozzetti; C. Tortora; S.E. van Mierlo; N. Aghanim; N. Auricchio; M. Baldi; R. Bender; C. Bodendorf; D. Bonino; E. Branchini; J. Brinchmann; S. Camera; V. Capobianco; C. Carbone; J. Carretero; F.J. Castander; M. Castellano; A. Cimatti; G. Congedo; L. Conversi; Y. Copin; L. Corcione; F. Courbin; M. Cropper; A. Da Silva; H. Degaudenzi; M. Douspis; F. Dubath; C.A.J. Duncan; X. Dupac; S. Dusini; S. Farrens; S. Ferriol; M. Frailis; E. Franceschi; P. Franzetti; M. Fumana; B. Garilli; W. Gillard; B. Gillis; C. Giocoli; A. Grazian; F. Grupp; L. Guzzo; S.V.H. Haugan; W. Holmes; F. Hormuth; A. Hornstrup; K. Jahnke; M. Kümmel; S. Kermiche; A. Kiessling; M. Kilbinger; R. Kohley; M. Kunz; H. Kurki-Suonio; S. Ligori; P. B. Lilje; I. Lloro; E. Maiorano; O. Mansutti; O. Marggraf; K. Markovic; F. Marulli; R. Massey; S. Maurogordato; E. Medinaceli; M. Meneghetti; E. Merlin; G. Meylan; M. Moresco; L. Moscardini; E. Munari; S.M. Niemi; C. Padilla; S. Paltani; F. Pasian; K. Pedersen; V. Pettorino; G. Polenta; M. Poncet; L. Popa; F. Raison; A. Renzi; J. Rhodes; G. Riccio; H.-W. Rix; E. Romelli; M. Roncarelli; C. Rosset; E. Rossetti; R. Saglia; D. Sapone; B. Sartoris; P. Schneider; M. Scodeggio; A. Secroun; G. Seidel; C. Sirignano; G. Sirri; L. Stanco; P. Tallada-Crespí; D. Tavagnacco; A.N. Taylor; I. Tereno; R. Toledo-Moreo; F. Torradeflot; I. Tutusaus; E.A. Valentijn; L. Valenziano; T. Vassallo; Y. Wang; A. Zacchei; G. Zamorani; J. Zoubian; S. Andreon; S. Bardelli A. Boucaud; C. Colodro-Conde; D. Di Ferdinando; J. Graciá-Carpio; V. Lindholm; D. Maino; S. Mei; V. Scottez; F. Sureau; M. Tenti; E. Zucca; A. S. Borlaff; M. Ballardini; A. Biviano; E. Bozzo; C. Burigana; R. Cabanac; A. Cappi; C.S. Carvalho; S. Casas; G. Castignani; A. Cooray; J. Coupon; H.M. Courtois; J. Cuby; S. Davini; G. De Lucia; G. Desprez; H. Dole; J.A. Escartin; S. Escoffier; M. Farina; S. Fotopoulou; K. Ganga; J. Garcia-Bellido; K. George; F. Giacomini; G. Gozaliasl; H. Hildebrandt; I. Hook; M. Huertas-Company; V. Kansal; E. Keihanen; C.C. Kirkpatrick; A. Loureiro; J.F. Macías-Pérez; M. Magliocchetti; G. Mainetti; S. Marcin; M. Martinelli; N. Martinet; R.B. Metcalf; P. Monaco; G. Morgante; S. Nadathur; A.A. Nucita; L. Patrizii; A. Peel; D. Potter; A. Pourtsidou; M. Pöntinen; P. Reimberg; A.G. Sánchez; Z. Sakr; M. Schirmer; E. Sefusatti; M. Sereno; J. Stadel; R. Teyssier; C. Valieri; J. Valiviita111; M. Viel;
30 Jun 2022

18.

Euclid preparation: XXII. Selection of Quiescent Galaxies from Mock Photometry using Machine Learning
A.Humphrey; L.Bisigello; P.A.C.Cunha; M.Bolzonella; S.Fotopoulou; K.Caputi; C.Tortora; G.Zamorani; P.Papaderos; D.Vergani; J.Brinchmann; M.Moresco; A.Amara; N.Auricchio; M.Baldi; R.Bender; D.Bonino; E.Branchini; M.Brescia; S.Camera; V.Capobianco; C.Carbone; J.Carretero; F.J.Castander; M.Castellano; S.Cavuoti; A.Cimatti; R.Cledassou; G.Congedo; C.J.Conselice; L.Conversi; Y.Copin; L.Corcione; F.Courbin; M.Cropper; A.Da Silva; H.Degaudenzi; M.Douspis; F.Dubath; C.A.J.Duncan; X.Dupac; S.Dusini; S.Farrens; S.Ferriol; M.Frailis; E.Franceschi; M.Fumana; P.Gomez-Alvarez; S.Galeotta; B.Garilli; W.Gillard; B.Gillis; C.Giocoli; A.Grazian; F.Grupp; L.Guzzo; S.V.H.Haugan; W.Holmes; F.Hormuth; K.Jahnke; M.Kummel; S.Kermiche; A.Kiessling; M.Kilbinger; T.Kitching; R.Kohley; M.Kunz; H.Kurki-Suonio; S.Ligori; P.B.Lilje; I.Lloro; E.Maiorano; O.Mansutti; O.Marggraf; K.Markovic; F.Marulli; R.Massey; S.Maurogordato; H.J.McCracken; E.Medinaceli; M.Melchior; M.Meneghetti; E.Merlin; G.Meylan; L.Moscardini; E.Munari; R.Nakajima; S.M.Niemi; J.Nightingale; C.Padilla; S.Paltani; F.Pasian; K.Pedersen; V.Pettorino; S.Pires; M.Poncet; L.Popa; L.Pozzetti; F.Raison; A.Renzi; J.Rhodes; G.Riccio; E.Romelli; M.Roncarelli; E.Rossetti; R.Saglia; D.Sapone; B.Sartoris; R.Scaramella; P.Schneider; M.Scodeggio; A.Secroun; G.Seidel; C.Sirignano; G.Sirri; L.Stanco; P.Tallada-Crespi; D.Tavagnacco; A.N.Taylor; I.Tereno; R.Toledo-Moreo; F.Torradeflot; I.Tutusaus; L.Valenziano; T.Vassallo; Y.Wang; J.Weller; A.Zacchei; J.Zoubian; S.Andreon; S.Bardelli; A.Boucaud; R.Farinelli; J.Gracia-Carpio; D.Maino; N.Mauri; S.Mei; N.Morisset; F.Sureau; M.Tenti; A.Tramacere; E.Zucca; C.Baccigalupi; A.Balaguera-Antolinez; A.Biviano; A.Blanchard; S.Borgani; E.Bozzo; C.Burigana; R.Cabanac; A.Cappi; C.S.Carvalho; S.Casas; G.Castignani; C.Colodro-Conde; A.R.Cooray; J.Coupon; H.M.Courtois; O.Cucciati; S.Davini; G.De Lucia; H.Dole; J.A.Escartin; S.Escoffier; M.Fabricius; M.Farina; F.Finelli; K.Ganga; J.Garcia-Bellido; K.George; F.Giacomini; G.Gozaliasl; I.Hook; M.Huertas-Company; B.Joachimi; V.Kansal; A.Kashlinsky; E.Keihanen; C.C.Kirkpatrick; V.Lindholm; G.Mainetti; R.Maoli; S.Marcin; M.Martinelli; N.Martinet; M.Maturi; R. B.Metcalf; G.Morgante; A.A.Nucita; L.Patrizii; A.Peel; J.E.Pollack; V.Popa; C.Porciani; D.Potter; P.Reimberg; A.G.Sanchez; M.Schirmer; M.Schultheis; V.Scottez; E.Sefusatti; J.Stadel; R.Teyssier; C.Valieri; J.Valiviita; M.Viel; F.Calura; H.Hildebrandt;
27 Sep 2022

19.

Prospective Learning: Back to the Future
Joshua T. Vogelstein; Timothy Verstynen; Konrad P. Kording; Leyla Isik; John W. Krakauer; Ralph Etienne-Cummings; Elizabeth L. Ogburn; Carey E. Priebe; Randal Burns; Kwame Kutten; James J. Knierim; James B. Potash; Thomas Hartung; Lena Smirnova; Paul Worley; Alena Savonenko; Ian Phillips; Michael I. Miller; Rene Vidal; Jeremias Sulam; Adam Charles; Noah J. Cowan; Maxim Bichuch; Archana Venkataraman; Chen Li; Nitish Thakor; Justus M Kebschull; Marilyn Albert; Jinchong Xu; Marshall Hussain Shuler; Brian Caffo; Tilak Ratnanather; Ali Geisa; Seung-Eon Roh; Eva Yezerets; Meghana Madhyastha; Javier J. How; Tyler M. Tomita; Jayanta Dey; Ningyuan; Huang; Jong M. Shin; Kaleab Alemayehu Kinfu; Pratik Chaudhari; Ben Baker; Anna Schapiro; Dinesh Jayaraman; Eric Eaton; Michael Platt; Lyle Ungar; Leila Wehbe; Adam Kepecs; Amy Christensen; Onyema Osuagwu; Bing Brunton; Brett Mensh; Alysson R. Muotri; Gabriel Silva; Francesca Puppo; Florian Engert; Elizabeth Hillman; Julia Brown; Chris White; Weiwei Yang;
19 Jan 2022

20.

Physical learning beyond the quasistatic limit
Menachem Stern; Sam Dillavou; Marc Z. Miskin; Douglas J. Durian; Andrea J. Liu;
21 Dec 2021

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