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Instances Classifier published presentations and documents on DocSlides.

Software in Society

Software in Society

  • danika-pritchard
  • 17 Slides

Personal responsibility in the engineering workpl...

http://cs273a.stanford.edu [BejeranoFall15/16]

http://cs273a.stanford.edu [BejeranoFall15/16]

  • lindy-dunigan
  • 56 Slides

1. MW  . 1:30-2:50pm . in . Clark . S361*. (beh...

Data Mining Essentials

Data Mining Essentials

  • olivia-moreira
  • 84 Slides

S. OCIAL. M. EDIA. M. INING. Dear instructors/...

Classifier Ensembles

Classifier Ensembles

  • ellena-manuel
  • 71 Slides

Ludmila. . Kuncheva. School of Computer Science....

Model Evaluation

Model Evaluation

  • min-jolicoeur
  • 31 Slides

Metrics for Performance Evaluation. How to evalua...

Active Sampling for Entity Matching

Active Sampling for Entity Matching

  • tatiana-dople
  • 23 Slides

Aditya. . Parameswaran. Stanford University. Joi...

Performance Evaluation for Learning Algorithms

Performance Evaluation for Learning Algorithms

  • celsa-spraggs
  • 87 Slides

. Nathalie Japkowicz. School of Electrical E...

Ontology learning and population from from text

Ontology learning and population from from text

  • natalia-silvester
  • 30 Slides

Ch8 Population. Population. Population of ontolog...

Question 11

Question 11

  • yoshiko-marsland
  • 3 Slides

Attribute inheritance is the gaining of attribute...

Machine Learning Applied in Product Classification

Machine Learning Applied in Product Classification

  • luanne-stotts
  • 20 Slides

Jianfu Chen. Computer Science Department. Stony B...

Zhuode

Zhuode

  • liane-varnes
  • 26 Slides

Liu. University of Texas at Austin. CS 381V: Vis...

Number or Nuance:

Number or Nuance:

  • phoebe-click
  • 21 Slides

Factors Affecting Reliable Word Sense Annotation....

POLYMORPHISM AND VARIANT ANALYSIS

POLYMORPHISM AND VARIANT ANALYSIS

  • conchita-marotz
  • 63 Slides

Matt . Hudson . Crop Sciences. NCSA. . HPCB...

Pattern Recognition and Machine Learning

Pattern Recognition and Machine Learning

  • alexa-scheidler
  • 76 Slides

Lucy . Kuncheva. School of Computer Science. Bang...

ECG Signal processing (2)

ECG Signal processing (2)

  • olivia-moreira
  • 88 Slides

ECE, UA. ECG signal processing - Case [1]. Diagno...

Sense-level Subjectivity Analysis

Sense-level Subjectivity Analysis

  • karlyn-bohler
  • 91 Slides

1. What is Subjectivity?. Private state:. state ...

ADSP - Oral presentation

ADSP - Oral presentation

  • phoebe-click
  • 39 Slides

3D Accelerometer. Presenter : . Chen Yu. R0094049...

Data Modeling

Data Modeling

  • alexa-scheidler
  • 39 Slides

Man is a knot, a web, a mesh into which relations...

A Basic Introduction to Machine Learning

A Basic Introduction to Machine Learning

  • danika-pritchard
  • 0 Slides

and Data Analytics. Yolanda Gil. University of So...

NeCTAR Training Module 6

NeCTAR Training Module 6

  • karlyn-bohler
  • 0 Slides

Resource requirements for computing and storage. ...

Performance Evaluation for Learning Algorithms

Performance Evaluation for Learning Algorithms

  • celsa-spraggs
  • 0 Slides

. Nathalie Japkowicz. School of Electrical E...

Bram Cappers b.c.m.cappers@tue.nl

Bram Cappers b.c.m.cappers@tue.nl

  • briana-ranney
  • 0 Slides

Jarke. van Wijk. j.j.v.wijk@tue.nl. 2. /12. A. d...

On the Unreasonable E ffectiveness of

On the Unreasonable E ffectiveness of

  • calandra-battersby
  • 0 Slides

B. oolean SAT Solvers. Ed Zulkoski. in collaborat...

Based on Powerpoint slides by Gunter

Based on Powerpoint slides by Gunter

  • giovanna-bartolotta
  • 0 Slides

Mussbacher. , . Gregor. v. . Bochmann. , . with ...

Tie break University of Tokyo

Tie break University of Tokyo

  • yoshiko-marsland
  • 0 Slides

Seongsoo. Moon. Lists of solvers. Sequential sol...

Empirically Relating Complexity-theoretic Parameters with

Empirically Relating Complexity-theoretic Parameters with

  • celsa-spraggs
  • 0 Slides

SAT Solver Performance. Ed Zulkoski. 1. , . Ruben...

Dimensionality reduction

Dimensionality reduction

  • danika-pritchard
  • 0 Slides

CISC 5800. Professor Daniel Leeds. The benefits o...

Finite Mixture Models and EM Algorithm

Finite Mixture Models and EM Algorithm

  • liane-varnes
  • 0 Slides

McLachlan, G., & Peel, D. (2001). . Finite m...

Handwritten Digit Recognition Using Stacked Autoencoders

Handwritten Digit Recognition Using Stacked Autoencoders

  • tatiana-dople
  • 0 Slides

Yahia. Saeed, . Jiwoong. Kim, Lewis Westfall, a...

The Kinect body tracking pipeline

The Kinect body tracking pipeline

  • olivia-moreira
  • 0 Slides

Oliver Williams, Mihai Budiu. Microsoft Research,...

Sharing Features Between Objects and Their Attributes

Sharing Features Between Objects and Their Attributes

  • lois-ondreau
  • 0 Slides

Sung . Ju. Hwang. 1. , . Fei. Sha. 2. and Kris...

Performance Evaluation of

Performance Evaluation of

  • lindy-dunigan
  • 0 Slides

Machine Learning Algorithms . Mohak . Shah Nat...

Map of the Great Divide Basin, Wyoming, created using a neural network and used to find likely foss

Map of the Great Divide Basin, Wyoming, created using a neural network and used to find likely foss

  • giovanna-bartolotta
  • 0 Slides

See: . http://earthobservatory.nasa.gov/IOTD/vie...

Class 22 Fall, 2017 IM

Class 22 Fall, 2017 IM

  • karlyn-bohler
  • 0 Slides

450. DRM. drm. technological protection measures ...

boosting David Kauchak CS451 – Fall 2013

boosting David Kauchak CS451 – Fall 2013

  • min-jolicoeur
  • 0 Slides

Admin. Final project. Ensemble learning. Basic id...

Rapid Training of Information Extraction with Local and Global Data Views

Rapid Training of Information Extraction with Local and Global Data Views

  • conchita-marotz
  • 0 Slides

Dissertation Defense. Ang. Sun. Computer Science...

Windows Azure Web Sites

Windows Azure Web Sites

  • alida-meadow
  • 0 Slides

Name. Title. Organization. Web Sites in Perspecti...

Trends in Drug Use Trends in Drug Use

Trends in Drug Use Trends in Drug Use

  • pamella-moone
  • 0 Slides

Where do drugs in Illinois come from? . Illinois ...

Search Query Log Analysis

Search Query Log Analysis

  • olivia-moreira
  • 0 Slides

Kristina . Lerman. What can we learn from web sea...

Tributary: spot-dancing for elastic services with latency SLOs

Tributary: spot-dancing for elastic services with latency SLOs

  • alida-meadow
  • 0 Slides

Aaron Harlap, Andrew Chung, . Alexey Tumanov*, Gr...

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