John Shawe-Taylor

Craig Saunders

Marko Grobelnik

Steve Gunn

Many of the papers in this proceedings volume were presented at the PASCAL Workshop entitled Subspace, Latent Structure and Feature Selection Techniques: Statistical and Optimization Perspectives which took place in Bohinj, Slovenia during February, 23–25 2005.

Statistical and Optimization Perspectives Workshop, SLSFS 2005 Bohinj, Slovenia, February 23-25, 2005, Revised Selected Papers

Subspace, Latent Structure and Feature Selection

Dunja Mladenić

Georgiana Ifrim

Yuxiao Dong

Sofie Van Hoecke

The 5-volume proceedings, LNAI 12457 until 12461 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2020, which was held during September 14-18, 2020. The conference was planned to take place in Ghent, Belgium, but had to change to an online format due to the COVID-19 pandemic. The 232 full papers and 10 demo papers presented in this volume were carefully reviewed and selected for inclusion in the proceedings. The volumes are organized in topical sections as follows: Part I: Pattern Mining; clustering; privacy and fairness; (social) network analysis and computational social science; dimensionality reduction and autoencoders; domain adaptation; sketching, sampling, and binary projections; graphical models and causality; (spatio-) temporal data and recurrent neural networks; collaborative filtering and matrix completion. Part II: deep learning optimization and theory; active learning; adversarial learning; federated learning; Kernel methods and online learning; partial label learning; reinforcement learning; transfer and multi-task learning; Bayesian optimization and few-shot learning. Part III: Combinatorial optimization; large-scale optimization and differential privacy; boosting and ensemble methods; Bayesian methods; architecture of neural networks; graph neural networks; Gaussian processes; computer vision and image processing; natural language processing; bioinformatics. Part IV: applied data science: recommendation; applied data science: anomaly detection; applied data science: Web mining; applied data science: transportation; applied data science: activity recognition; applied data science: hardware and manufacturing; applied data science: spatiotemporal data. Part V: applied data science: social good; applied data science: healthcare; applied data science: e-commerce and finance; applied data science: computational social science; applied data science: sports; demo track.

European Conference, ECML PKDD 2020, Ghent, Belgium, September 14–18, 2020, Proceedings, Part V

Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track

Gregor Xane

Mark Matthews

Kealan Burke

Jason Parent

Evans Light

Edward Lorn

Adam Light

John McNee

"Brutal, humorous and utterly terrifying." -Allan Leverone, New York Times and USA Today bestselling author Buckle up for a journey into Halloween eternal.This special collection features all three volumes of the highly rated Bad Apples: Halloween Horror anthologies, showcasing rising names in modern horror. Features eighteen novellas and short stories by: Kealan Patrick Burke, Evans Light, Adam Light, Edward Lorn, John McNee, Mark Matthews, Jason Parent, Craig Saunders and Gregor Xane. "...enjoyable horrific Halloween tales withthe odd slice of humor neatly wrapped up amongst the violence and mayhem." - SCREAM Horror Magazine

The Complete Collection

Bad Apples: Halloween Horror

European Conference, ECML PKDD 2020, Ghent, Belgium, September 14–18, 2020, Proceedings, Part IV

Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track

Holland's a man who's good with death. Good at death. When his daughter goes missing, he finds himself pitted in a deadly game against the Gods themselves. Powerful enemies surround him-a changeling, a mage, and a god who wants to destroy the world. With silver bullets in his gun and death on his mind, Holland aims to set things right...or die trying. For the captors of Holland's daughter, death is not only on it's way, it's in their very possession as Holland's daughter isn't just a girl...in fact, she's barely mortal at all... She's Ankou, Death's daughter, and she's not an easy mark. The battleground has been set, the world's at stake, and all Hell is about the break loose. "Masters of Blood and Bone" is an epic clash between good and evil, life versus death, Gods against mortals, a timeless story of power and corruption and one man's pursuit to protect what he loves at any cost.

Masters of Blood and Bone

Holland's a man who's good with death - a killer for hire - but is he a match for a God?When his daughter goes missing, Holland finds himself pitted against powerful enemies; a changeling, a mage, and a god who wants to destroy the world.Holland's daughter isn't just a girl, though, and she's far from an easy mark.Masters of Blood and Bone is an epic clash between good and evil, life versus death, gods against mortals, a timeless story of power and corruption and one man's fight to protect what he loves at any cost.

Craig Saunders

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