'Sensory data' diaporamas de présentation

Mixed models for sensory data

Mixed models for sensory data. Per Bruun Brockhoff Head of Statistics Section DTU Informatics http://www.imm.dtu.dk/~pbb. Outline:. Introduce DTU Informatics, Denmark. Introduce the area of sensometrics (Sensometrics Society) Give three examples of mixed modelling in sensometrics:

794 views • 78 slides

Probabilistic Data Management

Probabilistic Data Management. Chapter 2: Data Uncertainty Model. Objectives. In this chapter, you will: Learn the formal definition of uncertain data Explore different granularities of data uncertainty Become familiar with different representations of uncertain data

488 views • 48 slides

Big Data

Big Data. Cross 11, Tapovan Enclave Nala pani Road, Dehradun 248001 Email: info@iskd.in Contact : +918979066357, +919027669947. Big Data. Introduction

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Lecture 11

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Knowledge Discovery in Databases

Knowledge Discovery in Databases. MIS 637 Professor Mahmoud Daneshmand Fall 2012 Final Project: Red Wine Recipe Data Mining By Jorge Madrazo. Profound Questions. What basic properties are the formula for a good wine?

471 views • 32 slides

Tutorial Session: The Bayesian brain, surprise and free-energy

Predictive Coding: Whatever Next? University of Edinburgh, January 19th, 2010. Tutorial Session: The Bayesian brain, surprise and free-energy.

318 views • 31 slides

It knows what you are going to do: Adding Anticipation to a Quakebot

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Knowing Your Brain

354 views • 30 slides

What is Bayesian inference? How does it apply to perception?

Describe the coding of taste and smell signals. Compare both with audition, vision, proprioception, and touch. Describe how attention affects perception. How does attention affect neural responses? What kinds of information are conveyed by the somatosensory system? How is that information

499 views • 28 slides

A Generic Framework for Handling Uncertain Data with Local Correlations

A Generic Framework for Handling Uncertain Data with Local Correlations. Xiang Lian and Lei Chen Department of Computer Science and Engineering The Hong Kong University of Science and Technology Clear Water Bay, Kowloon Hong Kong, China { xlian , leichen } @cse.ust.hk.

347 views • 26 slides

The Nervous System

Central Nervous System . Peripheral Nervous System. The Nervous System . Major division - Central vs. Peripheral Central or CNS- brain and spinal cord Peripheral- nerves connecting CNS to muscles and organs. Brain. Spinal Cord. Nerves. Peripheral Nervous System.

362 views • 25 slides

The Nervous System

Central Nervous System . Peripheral Nervous System. The Nervous System . Major division - Central vs. Peripheral Central or CNS- brain and spinal cord Peripheral- nerves connecting CNS to muscles and organs. Brain. Spinal Cord. Nerves. Peripheral Nervous System.

331 views • 25 slides

264 views • 24 slides

General Psychology (PY110)

356 views • 23 slides

Regional Seminar Series Houston

325 views • 22 slides

Heuristic Search in Program Space for the AGINAO Cognitive Architecture

(. com ). Heuristic Search in Program Space for the AGINAO Cognitive Architecture. Wojciech (Wojtek) Skaba. aginao @ aginao.com. E. Sensory. Environment. Actuators. AMD GEODE 500 MHz (Linux). Powerful host Intel i7-980X (6 cores ). Robot. Actions. States. RL Agent.

268 views • 20 slides

Perception

193 views • 11 slides

Forebrain

Your brain is the most complex technology anywhere in the world. Itu2019s made up of three major parts: the forebrain, midbrain and hindbrain. These divisions allows us simplify and understand the functions of the brain.

58 views • 5 slides