Markus Hagenbuchner

Artificial Intelligence · 2005–2009

A researcher in the Science corpus: 4 papers; trusts 11 researchers and is trusted by 399 researchers here, as inferred from the citation graph.

Subfields

Whom Markus Hagenbuchner trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Fernando J. Pineda
  2. Gary G. Yen
  3. M. Powell
  4. Paolo Frasconi
  5. Alessandro Sperduti
  6. Yuhai Wu
  7. Michael Collins
  8. Jorma Rissanen
  9. Marco Gori

Who trusts Markus Hagenbuchner overall

  1. William L. Hamilton
  2. Renjie Liao
  3. X. Wang
  4. Yang Song
  5. Joan Bruna
  6. Davide Bacciu
  7. Alvaro Sanchez-Gonzalez
  8. Thomas Kipf
  9. Abhinav Kumar Gupta
  10. Peter W. Battaglia

Papers from Markus Hagenbuchner's perspective

Ordered by how strongly the researchers Markus Hagenbuchner trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Statistical Learning Theory
  2. Support-Vector Networks
  3. A general framework for adaptive processing of data structures
  4. Neural networks and principal component analysis: Learning from examples without local minima
  5. Approximation by superpositions of a sigmoidal function
  6. A survey of kernels for structured data
  7. A new model for learning in graph domains
  8. The problem of learning long-term dependencies in recurrent networks
  9. Modeling By Shortest Data Description*
  10. A direct adaptive method for faster backpropagation learning: the RPROP algorithm

Their papers