'Qualitative model' presentation slideshows

Inductive Modeling

In this presentation, we shall study general techniques for identifying complex non-linear models from observations of input/output behavior. These techniques make an attempt at mimicking human capabilities of vicarious learning , i.e., of learning from observation.

628 views • 51 slides

Imaging transmission of nanostructures in a high-mobility heterostructure

603 views • 48 slides

Dynamic behavior of the S2C2 magnetic circuit

Dynamic behavior of the S2C2 magnetic circuit. FFAG13 September 2013 Wiel Kleeven. The New IBA Single Room Proton Therapy Solution: ProteusONE ?. High quality PBS cancer treatment: compact and affordable . 12.8 m. Synchrocyclotron with superconducting coil: S2C2.

626 views • 41 slides

Model Based Process Monitoring Methods

Model Based Process Monitoring Methods. Model-Based. Residual based observers Parity-space based Causal models Signed digraphs. Statistical. PCA PLS. Process monitoring methods. Process monitoring. + Includes process knowledge ? Needs process models. + Easier to implement

677 views • 38 slides

Pat Langley Institute for the Study of Learning and Expertise Palo Alto, California and

Challenges in the Computational Modeling of Gene Regulation. Pat Langley Institute for the Study of Learning and Expertise Palo Alto, California and Center for the Study of Language and Information Stanford University, Stanford, California http://cll.stanford.edu/ ~ langley

437 views • 36 slides

QUALITATIVE MODELLING AND REASONING

QUALITATIVE MODELLING AND REASONING. Ivan Bratko Faculty of Computer and Information Science Ljubljana University Slovenia. CONTENTS. Common sense, qualitative reasoning and naive physics Why qualitative reasoning and modelling Qualitative reasoning about static systems

635 views • 35 slides

452 views • 29 slides

Heuristic Formalism for Spatio-Temporal Qualitative Reasoning

328 views • 24 slides

Heuristic Formalism for Spatio-Temporal Qualitative Reasoning

243 views • 24 slides

Cross Sectional Designs

Cross Sectional Designs. Research Objective. Study relationships among variables for existing groups. Show direct cause & effect. Explain outcomes after the fact. Type of Design. Cross-Sectional Longitudinal. True Experiment Quasi-Experiment. Explanatory Case Study

470 views • 23 slides

MDL Meeting Notes

MDL Meeting Notes. 2002-09-25 and 2002-09-26 at MIT. Participants.

319 views • 21 slides

Integration of Neural Network and Fuzzy system for Stock Price Prediction

Integration of Neural Network and Fuzzy system for Stock Price Prediction. Student : Dah-Sheng Lee Professor: Hahn-Ming Lee Date:5 December 2003. Outline. Original Network Architecture (1992)[1] GA based Fuzzy Neural Network (2001)[2][3] Quantitative model (artificial neural network)

648 views • 20 slides

283 views • 17 slides

Including human behavior in product simulations for the investigation of use processes in conceptual design A SURVEY

252 views • 16 slides

Cognitive Psychology & Military Weather Forecasting

Cognitive Psychology & Military Weather Forecasting. Earl Hunt Susan Joslyn. Larger context. Briefings vs. forecasting Communicating forecast to customer Time pressure/time sharing Weather analysis in conjunction with other duties Automate portions of briefing process. Time Pressure.

185 views • 16 slides

On the nature of moving magnetic feature pairs around sunspots

On the nature of moving magnetic feature pairs around sunspots. Zhang et al., 2003, A&A, 399,755. 2003 May 26 Zasshikai short-talk Junko Kiyohara. 1. Introduction. Moving magnetic features (MMFs) are small magnetic features

198 views • 11 slides

Current Research Topic: Energy Model for Supporting Real Time Building Energy Management

125 views • 3 slides