Daniel Silver, Acadia University

Research

Read how they describe their research on their Acadia University profile.

Machine Learning Data Analytics Data Mining User Modeling Robotics

Latest funding

Predictive Analytics for Melon Harvest Forecasting
NSERC · 2014 · Principal investigator
$24,418
Acadia University Robot Programming Competitions
NSERC · 2012 · Principal investigator
$60,000
Inductive transfer and machine life-long learning
NSERC · 2009 · Principal investigator
$120,000

All 7 grants and awards

No publications available.

Predictive Analytics for Melon Harvest Forecasting

Principal investigatorNSERC2014Engage Grants Program

Principal investigators: Silver, Daniel

$24,418

Acadia University Robot Programming Competitions

Principal investigatorNSERC2012PromoScience

Principal investigators: Silver, Daniel

$60,000

Inductive transfer and machine life-long learning

Principal investigatorNSERC2009Discovery Grants Program - Individual

Principal investigators: Silver, Daniel

$120,000

Acadia university robot programming competition

Principal investigatorNSERC2009PromoScience

Principal investigators: Silver, Daniel

$45,000

Life-long machine learning: consolidation and selective transfer of task knowledge

Principal investigatorNSERC2004Discovery Grants Program - Individual

Principal investigators: Silver, Daniel

$70,000

The Acadia Digital Culture Observatory: a facility to support interdisciplinary research on information and communication technologies.

Co-investigatorCFI2004Innovation Fund: Innovation Fund (1999-2005)

Principal investigators: Cunningham, Richard

Keywords: literacy and technology; digital inclusion; workplace stress; e-governance; intelligent technologies; digital health information; lifelong learning; usability; new media and culture

$194,583

Sequential transfer of neural network task knowledge

Principal investigatorNSERC2000Discovery Grants Program - Individual

Principal investigators: Silver, Daniel

$40,000

From public funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998 with their latest competition results, the Canada Foundation for Innovation, Genome Canada, the Canadian Space Agency, Canada Research Chairs, the Fonds de recherche du Québec, Ontario research funding, Michael Smith Health Research BC, the Canadian Cancer Society, Heart & Stroke and Brain Canada.

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Applying for

Subject: Prospective PhD student: Machine Learning Dear Professor Silver, My name is [your name], and I am a [your current degree or role] at [your institution]. I am applying for a PhD position starting in [term and year]. Your research on machine learning connects closely to my own work on [your research topic]. [One or two sentences on what you did and what you learned.] Are you accepting new PhD students for [term and year]? I have attached my CV and transcripts, and I would be glad to talk at a time that suits you. Thank you for your time. Kind regards, [your name]