Person: Saso Dzeroski

DBLP: Dzeroski:Saso

Facilitated 1 volumes:

Ed

Contributed to:

2011

2011

2005

2002

2000

1998

1997

1996

1995

1993

1991

Wrote 13 papers:

ICML-2011-IkonomovskaGZD

Speeding-Up Hoeffding-Based Regression Trees With Options (EI, JG, BZ, SD), pp. 537–544.

SAC-2011-IkonomovskaGD #data type #incremental #multi

Incremental multi-target model trees for data streams (EI, JG, SD), pp. 988–993.

ICML-2005-DriessensD #first-order #learning #modelling

Combining model-based and instance-based learning for first order regression (KD, SD), pp. 193–200.

ICML-2002-DriessensD #learning #relational

Integrating Experimentation and Guidance in Relational Reinforcement Learning (KD, SD), pp. 115–122.

ICML-2002-DzeroskiZ #classification

Is Combining Classifiers Better than Selecting the Best One (SD, BZ), pp. 123–130.

ICML-2002-LangleySTD #modelling #process

Inducing Process Models from Continuous Data (PL, JNS, LT, SD), pp. 347–354.

ICML-2000-TodorovskiDSWG #behaviour #difference #equation

Discovering the Structure of Partial Differential Equations from Example Behaviour (LT, SD, AS, JPW, DG), pp. 991–998.

ICML-1998-DzeroskiRB #learning #relational

Relational Reinforcement Learning (SD, LDR, HB), pp. 136–143.

ICML-1997-TodorovskiD #bias #declarative #equation

Declarative Bias in Equation Discovery (LT, SD), pp. 376–384.

AKDDM-1996-Dzeroski #database #induction #information management #logic programming

Inductive Logic Programming and Knowledge Discovery in Databases (SD), pp. 117–152.

KDD-1995-Dzeroski #database #information management #quality

Knowledge Discovery in a Water Quality Database (SD), pp. 81–86.

ICML-1993-DzeroskiT

Discovering Dynamics (SD, LT), pp. 97–103.

ML-1991-DzeroskiL #comparison #empirical #learning

Learning Relations from Noisy Examples: An Empirical Comparison of LINUS and FOIL (SD, NL), pp. 399–402.