Bernhard Schölkopf
Datos Biográficos
| ID | 3425841 |
|---|---|
| NOMBRE | Bernhard Schölkopf |
| NOMBRES | Bernhard |
| APELLIDO | Schölkopf |
| FIRMA | SCHÖLKOPF B |
| AFILIACIONES | Max Planck Institute for Intelligent Systems |
| ORCID | 0000-0002-8177-0925 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 3 |
| TOTAL DE CITAS | 3 |
| TOTAL COMO AUTOR | 3 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2004 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2014 |
| ÍNDICE H | 1 |
A few extreme events dominate global interannual variability in gross primary production
A few extreme events dominate global interannual variability in gross primary production, Jakob Zscheischler, Miguel D Mahecha, Jannis von Buttlar, Stefan Harmeling, Martin Jung, Anja Rammig, James T Randerson, Bernhard Schölkopf, Sonia I Seneviratne, Enrico Tomelleri, Sönke Zaehle, Markus Reichstein
Uncovering the structure and temporal dynamics of information propagation
Time plays an essential role in the diffusion of information, influence, and disease over networks. In many cases we can only observe when a node is activated by a contagion—when a node learns about a piece of information, makes a decision, adopts a new behavior, or becomes infected with a disease. However, the underlying network connectivity and transmission rates between nodes are unknown. Inferring the underlying diffusion dynamics is importan…
A tutorial on support vector regression
Uncovering the structure and temporal dynamics of information propagation
Time plays an essential role in the diffusion of information, influence, and disease over networks. In many cases we can only observe when a node is activated by a contagion—when a node learns about a piece of information, makes a decision, adopts a new behavior, or becomes infected with a disease. However, the underlying network connectivity and transmission rates between nodes are unknown. Inferring the underlying diffusion dynamics is importan…
A tutorial on support vector regression
A few extreme events dominate global interannual variability in gross primary production
A few extreme events dominate global interannual variability in gross primary production, Jakob Zscheischler, Miguel D Mahecha, Jannis von Buttlar, Stefan Harmeling, Martin Jung, Anja Rammig, James T Randerson, Bernhard Schölkopf, Sonia I Seneviratne, Enrico Tomelleri, Sönke Zaehle, Markus Reichstein
Uncovering the structure and temporal dynamics of information propagation
Time plays an essential role in the diffusion of information, influence, and disease over networks. In many cases we can only observe when a node is activated by a contagion—when a node learns about a piece of information, makes a decision, adopts a new behavior, or becomes infected with a disease. However, the underlying network connectivity and transmission rates between nodes are unknown. Inferring the underlying diffusion dynamics is importan…
Computer Science (2 obras) · Mathematics (2 obras) · Algorithm (1 obras) · Artificial Intelligence (1 obras) · Artificial Intelligence (1 obras) · Atmospheric and Environmental Gas Dynamics (1 obras) · Atmospheric sciences (1 obras) · Biology (1 obras) · Carbon cycle (1 obras) · Carbon flux (1 obras)