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Kristian Kersting
Top Co-Authors:
Luc De Raedt (34)
Wolfram Burgard (7)
Tapani Raiko (7)
Stefan Kramer (6)
Zhao Xu (6)
Christian Plagemann (6)
Bernd Gutmann (6)
Niels Landwehr (5)
Andreas Karwath (4)
Josef Guttmann (4)
Steven Ganzert (4)
Volker Tresp (3)
Patrick Pfaff (3)
Angelika Kimmig (3)
Leslie Pack Kaelbling (2)
Hannu Toivonen (2)
Brian Milch (2)
Thomas Gärtner (2)
Luke S. Zettlemoyer (2)
Martijn Van Otterlo (2)
ObjectID : Author/520160
Kristian Kersting
(
Publications: 78
)
(
Citation Count: 451
)
(
G-Index: 19
)
(
H-Index: 11
)
HomePage
D-79085 Freiburg i. Brg . , Germany
University of Freiburg, Freiburg, Germany
Permanent Link:
http://academic.research.microsoft.com/Author/520160.aspx
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Papers
Citations
Year 2009
Zhao Xu
,
Kristian Kersting
,
Volker Tresp
:
Multi-Relational Learning with Gaussian Processes
,
IJCAI
, 2009
(
Citations: 3
)
Novi Quadrianto
,
Kristian Kersting
,
Mark D. Reid
,
Tibério S. Caetano
,
Wray L. Buntine
:
Kernel Conditional Quantile Estimation via Reduction Revisited
,
ICDM
, 2009
Marion Neumann
,
Kristian Kersting
,
Zhao Xu
,
Daniel Schulz
:
Stacked Gaussian Process Learning
,
ICDM
, 2009
Saket Joshi
,
Kristian Kersting
,
Roni Khardon
:
Generalized First Order Decision Diagrams for First Order Markov Decision Processes
,
IJCAI
, 2009
Christian Thurau
,
Kristian Kersting
,
Christian Bauckhage
:
Convex Non-negative Matrix Factorization in the Wild
,
ICDM
, 2009
Kristian Kersting
,
Zhao Xu
:
Learning Preferences with Hidden Common Cause Relations
,
PKDD
, 2009
Year 2008
Brian Milch
,
Luke S. Zettlemoyer
,
Kristian Kersting
,
Michael Haimes
,
Leslie Pack Kaelbling
:
Lifted Probabilistic Inference with Counting Formulas
,
AAAI
, 2008
(
Citations: 7
)
Luc De Raedt
,
Kristian Kersting
:
Probabilistic Inductive Logic Programming
,
ILP
, 2008
(
Citations: 5
)
Christian Plagemann
,
Kristian Kersting
,
Wolfram Burgard
:
Nonstationary Gaussian Process Regression Using Point Estimates of Local Smoothness
,
PKDD
, 2008
(
Citations: 4
)
Kristian Kersting
,
Luc De Raedt
:
Basic Principles of Learning Bayesian Logic Programs
,
ILP
, 2008
(
Citations: 2
)
Christian Plagemann
,
Sebastian Mischke
,
Sam Prentice
,
Kristian Kersting
,
Nicholas Roy
,
Wolfram Burgard
:
Learning predictive terrain models for legged robot locomotion
, 2008
(
Citations: 2
)
Luc De Raedt
,
Kristian Kersting
,
Angelika Kimmig
,
Kate Revoredo
,
Hannu Toivonen
:
Compressing probabilistic Prolog programs
,
ML
, 2008
(
Citations: 1
)
Kristian Kersting
,
Luc De Raedt
,
Bernd Gutmann
,
Andreas Karwath
,
Niels Landwehr
:
Relational Sequence Learning
,
ILP
, 2008
(
Citations: 1
)
Bernd Gutmann
,
Angelika Kimmig
,
Kristian Kersting
,
Luc De Raedt
:
Parameter Learning in Probabilistic Databases: A Least Squares Approach
,
PKDD
, 2008
(
Citations: 1
)
Kristian Kersting
,
Kurt Driessens
:
Non-parametric policy gradients: a unified treatment of propositional and relational domains
,
ICML
, 2008
(
Citations: 1
)
Sriraam Natarajan
,
Hung H. Bui
,
Prasad Tadepalli
,
Kristian Kersting
,
Weng-keen Wong
:
Logical Hierarchical Hidden Markov Models for Modeling User Activities
,
ILP
, 2008
(
Citations: 2
)
Olana Missura
,
Kristian Kersting
,
Thomas Gärtner
:
Towards Engaging Games
,
LWA
, 2008
Andreas Karwath
,
Kristian Kersting
,
Niels Landwehr
:
Boosting Relational Sequence Alignments
,
ICDM
, 2008
Kristian Kersting
:
SRL without Tears: An ILP Perspective
,
ILP
, 2008
Year 2007
Kristian Kersting
,
Christian Plagemann
,
Patrick Pfaff
,
Wolfram Burgard
:
Most likely heteroscedastic Gaussian process regression
,
ICML
, 2007
(
Citations: 6
)
Christian Plagemann
,
Kristian Kersting
,
Patrick Pfaff
,
Wolfram Burgard
:
Gaussian Beam Processes: A Nonparametric Bayesian Measurement Model for Range Finders
,
RSS
, 2007
(
Citations: 6
)
Luc De Raedt
,
Thomas G. Dietterich
,
Lise Getoor
,
Kristian Kersting
,
Stephen Muggleton
:
07161 Abstracts Collection -- Probabilistic, Logical and Relational Learning - A Further Synthesis
,
Dagstuhl Seminars
, 2007
Year 2006
Kristian Kersting
,
Luc De Raedt
,
Tapani Raiko
:
Logical Hidden Markov Models
,
JAIR
, 2006
(
Citations: 18
)
Bernd Gutmann
,
Kristian Kersting
:
TildeCRF: Conditional Random Fields for Logical Sequences
,
ECML
, 2006
(
Citations: 10
)
Rudolph Triebel
,
Kristian Kersting
,
Wolfram Burgard
:
Robust 3D Scan Point Classification using Associative Markov Networks
,
ICRA
, 2006
(
Citations: 7
)
Alexandru Cocora
,
Kristian Kersting
,
Christian Plagemann
,
Wolfram Burgard
,
Luc De Raedt
:
Learning Relational Navigation Policies
, 2006
(
Citations: 5
)
Kristian Kersting
:
An inductive logic programming approach to statistical relational learning
,
AICOM
, 2006
(
Citations: 3
)
Uwe Dick
,
Kristian Kersting
:
Fisher Kernels for Relational Data
,
ECML
, 2006
(
Citations: 1
)
Luc De Raedt
,
Kristian Kersting
,
Angelika Kimmig
,
Kate Revoredo
,
Hannu Toivonen
:
Revising Probabilistic Prolog Programs
,
ILP
, 2006
Andreas Karwath
,
Kristian Kersting
:
Relational Sequence Alignments and Logos
,
ILP
, 2006
K. Kersting
,
A. Karwath
:
On Relational Sequence Alignments and Their Infor-mation Content
, 2006
Year 2005
Kristian Kersting
,
Tapani Raiko
:
"Say EM" for Selecting Probabilistic Models for Logical Sequences
,
UAI
, 2005
(
Citations: 10
)
Niels Landwehr
,
Kristian Kersting
,
Luc De Raedt
:
nFOIL: Integrating Naïve Bayes and FOIL
,
AAAI
, 2005
(
Citations: 10
)
Luc De Raedt
,
Kristian Kersting
,
Sunna Torge
:
Towards Learning Stochastic Logic Programs from Proof-Banks
,
AAAI
, 2005
(
Citations: 5
)
Year 2004
Kristian Kersting
,
Martijn Van Otterlo
,
Luc De Raedt
:
Bellman goes relational
,
ICML
, 2004
(
Citations: 30
)
Luc De Raedt
,
Kristian Kersting
:
Probabilistic Inductive Logic Programming
,
ALT
, 2004
(
Citations: 19
)
Kristian Kersting
,
Luc De Raedt
:
Logical Markov Decision Programs and the Convergence of Logical TD(lambda)
,
ILP
, 2004
(
Citations: 3
)
Kristian Kersting
,
Uwe Dick
:
Balios - The Engine for Bayesian Logic Programs
,
PKDD
, 2004
(
Citations: 4
)
Kristian Kersting
,
Thomas Gärtner
:
Fisher Kernels for Logical Sequences
,
ECML
, 2004
Year 2003
Luc De Raedt
,
Kristian Kersting
:
Probabilistic logic learning
,
SIGKDD Explorations
, 2003
(
Citations: 43
)
Kristian Kersting
,
Tapani Raiko
,
Stefan Kramer
,
Luc De Raedt
:
Towards Discovering Structural Signatures of Protein Folds Based on Logical Hidden Markov Models
,
Pacific Symposium on Biocomputing
, 2003
(
Citations: 11
)
Kristian Kersting
,
Luc De Raedt
:
Logical Markov Decision Programs
, 2003
(
Citations: 8
)
Kristian Kersting
,
Tapani Raiko
,
Stefan Kramer
,
Luc De Raedt
:
Towards Discovering Structural Signatures of Protein Folds based on
,
Pacific Symposium on Biocomputing
, 2003
(
Citations: 8
)
K. Kersting
,
T. Raiko
,
L. De Raedt
:
A Struc-tural GEM for Learning Logical Hidden Markov Mod-els
, 2003
(
Citations: 4
)
L. De Raedt
,
K. Kersting
:
ACM-SIGKDD Ex-plorations: Special issue on Multi-Relational Data Mining
, 2003
(
Citations: 5
)
Jörg Fischer
,
Kristian Kersting
:
Scaled CGEM: A Fast Accelerated EM
,
ECML
, 2003
(
Citations: 5
)
Year 2002
Kristian Kersting
,
Luc De Raedt
:
Basic Principles of Learning Bayesian Logic Programs
, 2002
(
Citations: 20
)
Steven Ganzert
,
Josef Guttmann
,
Kristian Kersting
,
Ralf Kuhlen
,
Christian Putensen
,
Michael Sydow
,
Stefan Kramer
:
Analysis of respiratory pressure-volume curves in intensive care medicine using inductive machine learning
,
ARTMED
, 2002
(
Citations: 6
)
Kristian Kersting
,
Tapani Raiko
,
Luc De Raedt
:
Logical Hidden Markov Models (Extendes abstract)
,
PGM
, 2002
(
Citations: 2
)
Kristian Kersting
,
Niels Landwehr
:
Scaled Conjugate Gradients for Maximum Likelihood: An Empirical Comparison with the EM Algorithm
,
PGM
, 2002
(
Citations: 1
)
Steven Ganzert
,
Josef Guttmann
,
Kristian Kersting
,
Ralf Kuhlen
,
Christian Putensen
,
Michael Sydow
,
Stefan Kramer
:
Analysis of Respiratory Pressure-Volume Curves in
,
ARTMED
, 2002
Year 2001
Kristian Kersting
,
Luc De Raedt
:
Towards Combining Inductive Logic Programming with Bayesian Networks
,
ILP
, 2001
(
Citations: 30
)
Kristian Kersting
,
Luc De Raedt
:
Adaptive Bayesian Logic Programs
,
ILP
, 2001
(
Citations: 20
)
Kristian Kersting
,
Luc De Raedt
:
Bayesian Logic Programs
,
CORR
, 2001
(
Citations: 22
)
Year 2000
Kristian Kersting
,
Luc De Raedt
:
Bayesian Logic Programs
,
ILP
, 2000
(
Citations: 70
)
Kristian Kersting
,
Luc De Raedt
,
Stefan Kramer
:
Interpreting Bayesian Logic Programs
, 2000
(
Citations: 13
)
Year Unknown
Kristian Kersting
,
Luc De Raedt
:
Logical Markov Decision Programs and the Convergence of Logical TD
(
Citations: 6
)
Kristian Kersting
,
Bernd Gutmann
:
Unbiased Conjugate Direction Boosting for Conditional Random Fields
(
Citations: 2
)
Niels Landwehr
,
Kristian Kersting
,
Luc De Raedt
:
Integrating Na¨ıve Bayes and FOIL
(
Citations: 3
)
Ingo Thon
,
Kristian Kersting
:
Distributed Relational State Representations for Complex Stochastic Processes
(
Citations: 1
)
Kristian Kersting
:
Representational Power of Probabilistic-Logical Models: From Upgrading to Downgrading
(
Citations: 2
)
Bernd Gutmann
,
Kristian Kersting
:
Stratified Gradient Boosting for Fast Training of Conditional Random Fields
(
Citations: 1
)
Martijn Van Otterlo
,
Kristian Kersting
,
Luc De Raedt
:
Bellman goes Relational (Extended Abstract)
(
Citations: 1
)
T. Raiko
,
K. Kersting
,
J. Karhunen
,
L. De Raedt
:
Bayesian Learning of Logical Hidden Markov Models
(
Citations: 1
)
Kristian Kersting
,
Brian Milch
,
Luke S. Zettlemoyer
,
Michael Haimes
,
Leslie Pack Kaelbling
:
Reasoning about Large Populations with Lifted Probabilistic Inference
Steven Ganzert
,
Knut Moller
,
Kristian Kersting
,
Luc De Raedt
,
Josef Guttmann
:
Equation Discovery for Model Identification in Respiratory Mechanics under Conditions of Mechanical Ventilation
Yarden Katz
,
Noah D. Goodman
,
Kristian Kersting
,
Charles Kemp
,
Joshua B. Tenenbaum
:
Modeling Semantic Cognition as Logical Dimensionality Reduction
Steven Ganzert
,
Knut Möller
,
Stefan Kramer
,
Kristian Kersting
,
Josef Guttmann
:
Identifying Mathematical Models of the Mechanically Ventilated Lung Using Equation Discovery
Tayfun G Urel
,
Kristian Kersting
:
On the Trade-Off Between Iterative Classication and Collective Classication: First Experimental Results
Zhao Xu
,
Volker Tresp
,
Achim Rettinger
,
Kristian Kersting
:
Social Network Mining with Nonparametric Relational Models
Christian Plagemann
,
Kristian Kersting
,
Patrick Pfaff
,
Wolfram Burgard
:
Heteroscedastic Gaussian Process Regression for Modeling Range Sensors in Mobile Robotics
Zhao Xu
,
Kristian Kersting
,
Fraunhofer Iais
,
Volker Tresp
:
Gaussian Process Models for Colored Graphs
Manfred Jaeger
,
Kristian Kersting
:
Expressivity Analysis for PL-Languages
Kristian Kersting
,
Luc De Raedt
:
1 Bayesian Logic Programming
Kristian Kersting
,
Luc De Raedt
:
Software Tools for Probabilistic Inductive Logic Programming
Bernd Gutmann
,
Kristian Kersting
:
Stratified Gradient Boosting for Fast Training of CRFs (Extended Abstract)
Ingo Thon
,
Kristian Kersting
:
Distributed Relational State Representations for Complex Stochastic Processes (Extended Abstract)
Kristian Kersting
,
Zhao Xu
:
Relational Gaussian Processes for Learning Preference Relations