Results 111 to 120 of about 1,540 (139)

A high-bias, low-variance introduction to Machine Learning for physicists. [PDF]

Phys Rep, 2019
Mehta P, Wang CH, Day AGR, Richardson C, Bukov M, Fisher CK, Schwab DJ.   +6 more
europepmc   +1 more source

Sparse Power-Law Network Model for Reliable Statistical Predictions Based on Sampled Data. [PDF]

Entropy (Basel), 2018
Kartun-Giles AP, Krioukov D, Gleeson JP, Moreno Y, Bianconi G.   +4 more
europepmc   +1 more source

Multiplex flows in citation networks. [PDF]

Appl Netw Sci, 2017
Renoust B, Claver V, Baffier JF.
europepmc   +1 more source

Large-order NSPT for lattice gauge theories with fermions: the plaquette in massless QCD. [PDF]

Eur Phys J C Part Fields, 2018
Del Debbio L, Di Renzo F, Filaci G.
europepmc   +1 more source

Parahydrogen-Based Hyperpolarization for Biomedicine. [PDF]

Angew Chem Int Ed Engl, 2018
Hövener JB, Pravdivtsev AN, Kidd B, Bowers CR, Glöggler S, Kovtunov KV, Plaumann M, Katz-Brull R, Buckenmaier K, Jerschow A, Reineri F, Theis T, Shchepin RV, Wagner S, Bhattacharya P, Zacharias NM, Chekmenev EY.   +16 more
europepmc   +1 more source

Temporally Factorized Network Modeling for Evolutionary Network Analysis. [PDF]

Proc Int Conf Web Search Data Min, 2017
Yu W, Aggarwal CC, Wang W.
europepmc   +1 more source

The pMSSM10 after LHC run 1. [PDF]

Eur Phys J C Part Fields, 2015
de Vries KJ, Bagnaschi EA, Buchmueller O, Cavanaugh R, Citron M, De Roeck A, Dolan MJ, Ellis JR, Flächer H, Heinemeyer S, Isidori G, Malik S, Marrouche J, Santos DM, Olive KA, Sakurai K, Weiglein G.   +16 more
europepmc   +1 more source