№ files_lp_4_process_2_64937
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Comprehensive exam paper assessing graduate-level understanding of machine learning concepts, problem-solving, and practical application through multiple problem types including calculations, algorithm explanations, and essay responses.
Year:
2013
Course:
COSC 6342 Machine Learning
Type of Document:
Exam
Format:
Open book, no computers allowed
Duration:
120 minutes
Weight toward grade:
33%
Problems:
9
Topics:
Information Gain, Ensemble Methods, Reinforcement Learning, Belief Networks, Kernel Methods, Support Vector Machines, K-means, Non-parametric Density Estimation
Target Audience:
Graduate students in computer science
Instructor / Institution:
Not specified
Price: 8 / 10 USD
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The product description is provided for reference. Actual content and formatting may differ slightly.
Year:
2024
Region / city:
Stanford University
Subject:
Artificial Intelligence, Machine Learning
Document Type:
Problem Set
Author:
Christoph F. Eick, Raunak Sarbajna, Md/Mahin
Target Audience:
Students of COSC 4368
Period of Action:
Spring 2024
Submission Deadline:
November 21, 11:59p
Responsible TA:
Farzana Yasmin
Last Updated:
September 2, 8a
Task Weight:
20% of the Problem Set Points
Dataset:
Stanford Cars
Note:
Learning Objectives
Date:
May 3, 2016
Course:
COSC 4355
Subject:
Data Mining
Topics Covered:
Association Rule Mining, Outlier Detection, Classification, Preprocessing, PageRank
Document Type:
Exam Review
Institution:
Not specified
Intended Audience:
Students enrolled in COSC 4355
Question Format:
Short-answer and problem-solving questions with point allocations
Algorithms Mentioned:
APRIORI, Support Vector Machine, k-Nearest Neighbor, Decision Tree Induction, PageRank
Evaluation Measures:
Support, Confidence, Lift, GINI, Gain Ratio, Information Gain
Source Type:
Educational course material
Year:
2026
Note:
Region / City
Subject:
Data Science / Group Project
Document Type:
Academic Assignment
Author:
Janet Anagli, Christoph F. Eick
Target Audience:
Students
Date of Changes:
Feb. 12, 2026
Deadline:
March 29, 2026
Course:
COSC 4335
Institution:
University-level computer science course
Instructor:
Dr. Eick
Document Type:
Course assignment
Subject Area:
Data Mining and Clustering Algorithms
Algorithms Covered:
K-means, DBSCAN
Programming Language:
R
Datasets:
Complex8 dataset; HAbalone dataset (modified Abalone dataset)
Original Dataset Source:
UCI Machine Learning Repository Abalone Dataset
Project Type:
Individual project
Learning Objectives:
Clustering analysis, interpretation of clustering results, R function development, unsupervised data mining analysis, use of background knowledge in data mining
Assignment Tasks:
Dataset transformation; implementation of purity evaluation function; clustering analysis with K-means and DBSCAN
Submission Deadline:
March 18, 2015, 11p (early submission bonus)
Final Deadline:
March 24, 2015, 11p
Document Version:
Fourth Draft
Last Updated:
Feb. 16, 2015, 2:30p
Year:
Not provided
Region / City:
Not specified
Topic:
Research ethics, manuscript submission
Document type:
Template
Author:
Not specified
Target audience:
Authors submitting research articles
Period of validity:
Not provided
Approval date:
Not specified
Date of changes:
Not specified
Supplementary material for radiomic analysis of MRI sequences using various machine learning methods
Year:
2023
Region / city:
Not specified
Theme:
Radiomics, MRI sequences, machine learning
Document type:
Research Supplement
Author:
Not specified
Target audience:
Researchers, medical professionals
Period of validity:
Not specified
Approval date:
Not specified
Date of changes:
Not specified
Year:
Not applicable
Region / City:
Not applicable
Subject:
Research ethics and manuscript submission
Document Type:
Submission Template
Organization / Institution:
Not applicable
Author:
Not applicable
Target Audience:
Researchers, Authors submitting manuscripts
Period of validity:
Not applicable
Approval Date:
Not applicable
Date of Changes:
Not applicable
Year:
2026
Region / City:
Kaneohe, HI
Topic:
Procurement
Document Type:
Request for Quotes (RFQ)
Agency / Organization:
Hawaii State Hospital
Author:
Hawaii State Hospital
Target Audience:
Vendors
Effective Period:
Until contract award
Approval Date:
N/A
Amendment Date:
N/A
Year:
2011
Region / City:
England, Northern Ireland, Wales
Topic:
Manufacturing technologies
Document Type:
Occupational Qualification
Institution:
GQA Qualifications Ltd
Target Audience:
Individuals working as machine operatives in printing industries
Period of Validity:
Not specified
Approval Date:
01-Feb-2011
Modification Date:
Not specified
Qualification Structure:
5 mandatory units, optional units
Qualification Achievement:
Total credits: 32, minimum of 7 credits from optional units
Applicable Age Ranges:
16-18, 19+
Qualification Assessment:
E-assessment, Portfolio of Evidence
Year:
2025
Region / City:
UK
Subject:
Nuclear Safety, Human Machine Interface
Document Type:
Technical Guide
Organization / Institution:
ONR (Office for Nuclear Regulation)
Author:
Nuclear Inspector
Target Audience:
Inspectors
Approval Date:
May 2025
Next Scheduled Review:
May 2028
Document Reference:
NS-TAST-GD-059
Record Reference:
ONRHH-822789359-20450
Revision:
6
Date of Revision:
May 2025
Update Description:
Major update to add clarification and new references; inclusion of new sections and appendices.
Year:
2022
Region / City:
N/A
Topic:
Virtual Machine Manager, System Center 2022, VHD
Document Type:
Guide
Organization / Institution:
Microsoft Corporation
Author:
Microsoft Corporation
Target Audience:
IT professionals, system administrators
Validity Period:
180 days after installation
Approval Date:
March 31, 2022
Modification Date:
N/A
Description:
Guide for setting up and evaluating Virtual Machine Manager using a preconfigured VHD for System Center 2022.
Note:
Year
Note:
Year
Topic:
Digital Logic Design
Document Type:
Educational Project
Target Audience:
Engineering students, Robotics enthusiasts
Contextual description:
An educational document detailing the design of a state machine for a tollbooth gate using digital logic components, aimed at demonstrating combinational logic, memory, and state transitions in a simulated environment.
Year:
Not specified
Region / City:
Not specified
Topic:
Artificial Intelligence, Machine Learning
Document Type:
Course Outline
Institution:
NOVA College
Author:
Not specified
Target Audience:
Students of the course
Duration:
Not specified
Approval Date:
Not specified
Modification Date:
Not specified
Year:
Not specified
Region / City:
Not specified
Topic:
Laser marking machine
Document Type:
User manual
Organization / Institution:
Not specified
Author:
Not specified
Target Audience:
Users of fiber laser marking machines
Period of validity:
Not specified
Approval Date:
Not specified
Date of Changes:
Not specified
Year:
2018
Region / City:
Frederick, MD
Theme:
Extended warranty, X-ray machines, Government contracting
Document Type:
Solicitation Notice
Agency / Institution:
Department of Veterans Affairs
Author:
Jacky Jean-Jacques, Kevin Armillotti
Target Audience:
Contractors, Government Suppliers
Period of Action:
12-month base period with 4 option periods
Approval Date:
April 10, 2018
Modification Date:
N/A
Scope:
Service Contract, Warranty, Repairs
Contracting Office:
Strategic Acquisition Center - Frederick
Contact Person:
Jacky Jean-Jacques, Kevin Armillotti
Performance Place:
Financial Services Center, Austin, Texas
NAICS Code:
326299
Contract Type:
Firm Fixed Price
Background:
The document is a combined synopsis and solicitation for the provision of extended warranty services for X-ray Inspection Machines used by the Department of Veterans Affairs.
Bid Number:
NCDOH/015/INFRA/2025
Year:
2025
Region / City:
Northern Cape, Jankempdorp
Type of Document:
Bid / Tender Document
Issuing Authority:
Northern Cape Department of Health
Contact:
MS. J Du Plooy (Technical), Mr HC Chipungu (Admin)
Mandatory Briefing Date:
10 December 2025
Bid Submission Deadline:
23 December 2025
Legislation:
Section 217 of Constitution of South Africa; Public Finance Management Act (Act 1 of 1999); Preferential Procurement Policy Framework Act 5 of 2000
Requirements:
Centralized Suppliers Database registration, Tax Compliance Status PIN
Date:
January 20, 2026
Reference No.:
FMIC-26-02-CT
Package Name:
Supply, Installation and Commissioning of Computed Tomography (CT) Scanner Machine
Bids Submission Deadline:
February 11, 2026, at 02:00 PM (Afghanistan Time)
Background:
The French Medical Institute for Mothers and Children (FMIC) invites sealed bids in two envelopes for the Supply, Installation and Commissioning of Computed Tomography (CT) Scanner Machine.
Note:
Qualification Criteria
Legal Status:
Valid and Updated Business License
Bid Security:
Submission of a Bid-Securing Declaration
Similar Experience:
Evidence of at least one similar contract or two contracts for imaging equipment within the last ten years
Financial Capability:
Bank statement or line of credit demonstrating not less than AFN 21,600,000 or equivalent in USD/EUR
Manufacturer Authorization:
Authorized distributor letter from OEM
Attention:
Mr. Nawid Sidiqyar
Position:
Manager, Purchasing & Supply Chain Management Division
Address:
University Road, Ali Abad, Kabul, Afghanistan
Email:
[email protected]
Bid opening on February 11, 2026, at 02:
00 PM
Year:
2025
Region / City:
New York
Topic:
Governance of machine authority in critical infrastructure
Document Type:
Regulatory Framework
Organization / Institution:
AIxEnergy, LLC
Author:
Brandon N. Owens
Target Audience:
Regulatory bodies, system operators, AI developers
Period of Effectiveness:
Ongoing
Approval Date:
2025
Amendment Date:
N/A
ISBN:
979-8241975911
Note:
Context