Inductive process modeling

No abstract is available for this paper.

• Publication year

  2008

• Venue

  Machine-mediated learning

• Publication date

  2008-04-01

• Fields of study

  Computer Science, Engineering

• Identifiers
  DOI 10.1007/s10994-007-5042-6
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Learning Qualitative Models of Physical and Biological Systems

  2007cited by this paper
• An Introduction to the Bootstrap

  2007cited by this paper
• An interactive environment for the modeling and discovery of scientific knowledge

  2006cited by this paper
• Inductive revision of quantitative process models

  2006cited by this paper
• Explanation: a mechanist alternative.

  2005cited by this paper
• INFLUENCE OF LOW LIGHT AND A LIGHT: DARK CYCLE ON NO3– UPTAKE, INTRACELLULAR NO3–, AND NITROGEN ISOTOPE FRACTIONATION BY MARINE PHYTOPLANKTON 1

  2004cited by this paper
• A coupled ocean‐ecosystem model of the Ross Sea: 2. Iron regulation of phytoplankton taxonomic variability and primary production

  2003cited by this paper
• Bootstrap Methods for Time Series

  2003cited by this paper
• Using domain knowledge for automated modelling of dynamic systems with equation discovery

  2003cited by this paper
• What Is a Mechanism? A Counterfactual Account

  2002cited by this paper
• Rethinking Mechanistic Explanation

  2002cited by this paper
• Murray, J.D.: Mathematical Biology. I. An Introduction.3rd Ed.

  2002cited by this paper
• Hidden Markov Model Analysis of Intermediate Gating Steps Associated with the Pore Gate of Shaker Potassium Channels

  2001cited by this paper
• Acceptance by medical experts of rules generated by machine learning

  2001cited by this paper
• Algorithm 808

  2001cited by this paper
• Lateral Inhibition through Delta-Notch Signaling: A Piecewise Affine Hybrid Model

  2001cited by this paper
• Reasoning about nonlinear system identification

  2001cited by this paper
• Discovering Communicable Scientific Knowledge from Spatio-Temporal Data

  2001cited by this paper
• Acceptance of Rules Generated by Machine Learning among Medical Experts

  2001cited by this paper
• Testing for predator dependence in predator-prey dynamics: a non-parametric approach

  2000cited by this paper
• Enhancing the Plausibility of Law Equation Discovery

  2000cited by this paper
• Thinking about Mechanisms

  2000cited by this paper
• Effects of iron enrichment on phytoplankton in the Southern Ocean during late summer: active fluorescence and flow cytometric analyses

  2000cited by this paper
• Learning Dynamic Bayesian Networks

  1997cited by this paper
• Declarative Bias in Equation Discovery

  1997cited by this paper
• Knowledge Acquisition from Examples Via Multiple Models

  1997cited by this paper
• Knowledge Acquisition form Examples Vis Multiple Models

  1997cited by this paper
• CVODE, a stiff/nonstiff ODE solver in C

  1996cited by this paper
• A Case Study of Explanation-Based Control

  1995cited by this paper
• Causality and Model Abstraction

  1994cited by this paper
• Inductive Logic Programming: Techniques and Applications

  1993cited by this paper
• Discovering Dynamics

  1993influential reference
• Algorithm 717: Subroutines for maximum likelihood and quasi-likelihood estimation of parameters in nonlinear regression models

  1993cited by this paper
• The Orgins and Evolution of Predator‐Prey Theory

  1992cited by this paper
• The case for iron

  1991influential reference
• Editorial Exploratory research in machine learning

  1990cited by this paper
• Self-Explanatory Simulations: An Integration of Qualitative and Quantitative Knowledge

  1990cited by this paper
• Changing the Rules: A Comprehensive Approach to Theory Refinement

  1990cited by this paper
• Automated Discovery in a Chemistry Laboratory

  1990cited by this paper
• A Learning Algorithm for Continually Running Fully Recurrent Neural Networks

  1989cited by this paper
• Scientific Discovery: Computational Explorations of the Creative Processes

  1988cited by this paper
• Hidden Markov models: a guided tour

  1988cited by this paper
• Book Reviews : Discovering Causal Structure: Artificial Intelligence, Philosophy of Science, and Statistical Modeling

  1987cited by this paper
• Explanation-Based Generalization: A Unifying View

  1986cited by this paper
• Qualitative Process Theory

  1984cited by this paper
• Algorithm 611: Subroutines for Unconstrained Minimization Using a Model/Trust-Region Approach

  1983cited by this paper
• Data-Driven Discovery of Physical Laws

  1981cited by this paper
• An Adaptive Nonlinear Least-Squares Algorithm

  1981cited by this paper
• AN ANALYSIS OF THE PREDATORY INTERACTION BETWEEN PARAMECIUM AND DIDINIUM

  1979cited by this paper
• System identification-A survey

  1971cited by this paper
• The Components of Predation as Revealed by a Study of Small-Mammal Predation of the European Pine Sawfly

  1959cited by this paper
• Spurious Correlation: A Causal Interpretation*

  1954cited by this paper
• Studies in the Logic of Explanation

  1948cited by this paper
• � 2003, by the American Society of Limnology and Oceanography, Inc. Anomalously low zooplankton abundance in the Ross Sea: An alternative explanation

  year unknowncited by this paper

• Knowledge-aware differential equation discovery with automated background knowledge extraction

  2025cites this paper
• Active Symbolic Discovery of Ordinary Differential Equations via Phase Portrait Sketching

  2024cites this paper
• Discovery of Exact Equations for Integer Sequences

  2024cites this paper
• Quantifying Behavioral Dissimilarity Between Mathematical Expressions

  2024cites this paper
• Dimensionally-consistent equation discovery through probabilistic attribute grammars

  2023cites this paper
• Symbolic Regression via Control Variable Genetic Programming

  2023cites this paper
• Vertical Symbolic Regression

  2023cites this paper
• Predicting Ordinary Differential Equations with Transformers

  2023cites this paper
• Efficient generator of mathematical expressions for symbolic regression

  2023cites this paper
• Automated Scientific Discovery: From Equation Discovery to Autonomous Discovery Systems

  2023cites this paper
• Agents of Exploration and Discovery

  2022cites this paper
• Automated Discovery Systems, part 2: New developments, current issues, and philosophical lessons in machine learning and data science

  2021cites this paper
• Bayesian learning of stochastic dynamical models

  2021cites this paper
• Noether Networks: Meta-Learning Useful Conserved Quantities

  2021cites this paper
• Guiding Parameter Estimation of Agent-Based Modeling Through Knowledge-Based Function Approximation

  2021cites this paper
• Probabilistic Grammars for Equation Discovery

  2020cites this paper
• Derivation of Constraints from Machine Learning Models and Applications to Security and Privacy

  2020cites this paper
• Combinatorial search for selecting the structure of models of dynamical systems with equation discovery

  2020cites this paper
• Recent Developments in the Design and Implementation of Programming Languages, Gabbrielli's Festschrift, Bologna, Italy, November 27, 2020

  2020cites this paper
• Machine learning for digital soil mapping: Applications, challenges and suggested solutions

  2020cites this paper
• Scientific Discovery, Process Models, and the Social Sciences

  2019cites this paper
• Research Commentary - Data-Driven Computationally Intensive Theory Development

  2019cites this paper
• Spatial Data Science Needs Explanations! (And Not Just Predictions)

  2019cites this paper
• Discovery of Physics From Data: Universal Laws and Discrepancies

  2019cites this paper
• Aiding the Task of Process-Based Modeling with ProBMoTViz

  2019cites this paper
• Fourth paradigm GIScience? Prospects for automated discovery and explanation from data

  2019influential citation
• Towards reusable process-based models of dynamical systems: A case study in the domain of aquatic ecosystems

  2019cites this paper
• Scientific process.

  2019cites this paper
• Verification, Validation, and Accreditation (VV&A)—Requirements, Standards, and Trends

  2019cites this paper
• Equation Discovery for Nonlinear System Identification

  2019cites this paper
• A practical method for estimating coupling functions in complex dynamical systems

  2019cites this paper
• Scientific discovery, causal explanation, and process model induction

  2019cites this paper
• Metadata of the chapter that will be visualized online

  2018cites this paper
• System Identification of Partial Differential Equations

  2018cites this paper
• Operationalizing Operational Logics

  2018cites this paper
• Computational Models in Science and Philosophy

  2018cites this paper
• Computational Scientific Discovery Using Rate-Based Process Models

  2018influential citation
• Mining HCI Data for Theory of Mind Induction

  2018cites this paper
• Decoupling approximation robustly reconstructs directed dynamical networks

  2017cites this paper
• Flexible Model Induction through Heuristic Process Discovery

  2017influential citation
• Process-Based Modeling and Design of Dynamical Systems

  2017cites this paper
• We Need to Rethink How We Describe and Organize Spatial Information: Instrumenting and Observing the Community of Users to Improve Data Description and Discovery

  2016cites this paper
• Modeling Dynamic Systems with Efficient Ensembles of Process-Based Models

  2016influential citation
• Learning Ensembles of Process-Based Models by Bagging of Random Library Samples

  2016cites this paper
• Heuristic Adaptation of Scientific Process Models

  2016influential citation
• Selective Induction of Rate-Based Process Models

  2016cites this paper
• Learning stochastic process-based models of dynamical systems from knowledge and data

  2016cites this paper
• Process-based design of dynamical biological systems

  2016cites this paper
• Heuristic Adaptation of Rate-Based Process Models

  2015cites this paper
• Predicting long-term population dynamics with bagging and boosting of process-based models

  2015cites this paper
• Heuristic Induction of Rate-Based Process Models

  2015cites this paper
• Domain-specific model selection for structural identification of the Rab5-Rab7 dynamics in endocytosis

  2015cites this paper
• Learning ensembles of population dynamics models and their application to modelling aquatic ecosystems

  2015cites this paper
• PREDICTIVE PROCESS-BASED MODELING OF AQUATIC ECOSYSTEMS

  2014cites this paper
• Symposium: Creative Cognition

  2014cites this paper
• Discovering statistically non-redundant subgroups

  2014cites this paper
• Learning Unknown Event Models

  2014cites this paper
• List of Late Breaking Papers accepted for poster presentation at the 17 th International Conference on Discovery Science (DS 2014)

  2014cites this paper
• Learning bagged models of dynamic systems

  2013cites this paper
• Learning Models of Unknown Events

  2013cites this paper
• A comparative study of artificial neural network architectures for time series prediction of water distribution system flow data

  2013cites this paper
• What Is the Cognitive Science of Science ?

  2013cites this paper
• Goal Reasoning: Papers from the ACS workshop

  2013cites this paper
• Inductive Process Modeling of Rab5-Rab7 Conversion in Endocytosis

  2013cites this paper
• Inference of hidden variables in systems of differential equations with genetic programming

  2013cites this paper
• The influence of parameter fitting methods on model structure selection in automated modeling of aquatic ecosystems

  2012cites this paper
• Markov Logic Mixtures of Gaussian Processes: Towards Machines Reading Regression Data

  2012cites this paper
• Discovering Constraints for Inductive Process Modeling

  2012cites this paper
• Automated Modelling of Qualitative Data Using Qualitative Reasoning and Inductive Logic Programming

  2012influential citation
• Broadening the Agenda for Discovery Informatics

  2012cites this paper
• SUMO-Supermodeling by combining imperfect models

  2012cites this paper
• Ecohydrology Modeling: Tools for Management

  2011cites this paper
• Analysis of Results of Ecological Simulation Models with Machine Learning

  2011cites this paper
• Automated discovery of a model for dinoflagellate dynamics

  2011cites this paper
• The AHA! Experience: Creativity Through Emergent Binding in Neural Networks

  2011cites this paper
• Toward interactive rough-granular computing ∗

  2011cites this paper
• Combining Data-Driven and Knowledge-Guided Methods to Induce Interpretable Physiological Models

  2011cites this paper
• Combined Bayesian Networks and Rough-Granular Approaches for Discovery of Process Models Based on Vehicular Traffic Simulation

  2010cites this paper
• The analysis and modelling of chaotic calcium oscillations

  2010cites this paper
• Ecosystem network analysis indicators are generally robust to parameter uncertainty in a phosphorus model of Lake Sidney Lanier, USA.

  2010cites this paper
• An Integrated Systems Approach to Explanation-Based Conceptual Change

  2010cites this paper
• A Proposed Semantics for the Sampled Values and Metadata of Scientific Values

  2010cites this paper
• Process mining : conformance and extension

  2010cites this paper
• Modeling the Dynamics of Biological Networks from Time Course Data

  2010cites this paper
• An Integrated Approach to Inducing Spatio-Temporal Process Models

  2010cites this paper
• Integrated Systems for Inducing Spatio-Temporal Process Models

  2010influential citation
• A Proposed Semantics for the Sampled Values and Metadata of Scientific Values

  2010cites this paper
• Two Kinds of Knowledge in Scientific Discovery

  2010cites this paper
• The Induction and Transfer of Declarative Bias

  2010cites this paper
• Two Kinds of Knowledge in Scientific Discovery

  2010cites this paper
• Equation Discovery for Model Identification in Respiratory Mechanics of the Mechanically Ventilated Human Lung

  2010cites this paper
• Effective vaccination policies

  2010cites this paper
• Discovering Concurrent Process Models in Data: A Rough Set Approach

  2009cites this paper
• Incorporating model identifiability into equation discovery of ODE systems

  2008cites this paper
• UvA-DARE (Digital Academic Repository) Supporting conceptual knowledge capture through automatic modelling: A preliminary progress report Supporting Conceptual Knowledge Capture Through Automatic Modelling: A Preliminary Progress Report

  2008cites this paper
• Cross-Domain Transfer of Constraints for Inductive ProcessModeling

  2008cites this paper
• Hierarchical Classifiers for Complex Spatio-temporal Concepts

  2008cites this paper
• Combination of Time Series, Decision Tree and Clustering: A Case Study in Aerology Event Prediction

  2008cites this paper
• Correlation Mining between Time Series Stream and Event Stream

  2008cites this paper
• An Interdisciplinary Curriculum in Science Informatics

  2008cites this paper