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Št. zadetkov: 11
High-throughput genotyping of hop (Humulus lupulus L.) utilising diversity arrays technology (DArT)
E. L. Howard, S. Whittock, Jernej Jakše, J. Carling, P. Matthews, G. Probasco, J. A. Henning, Peter E. Darby, Andreja Čerenak, Branka Javornik, A. Kilian, A. Koutoulis
Izvirni znanstveni članek
Oznake: hmelj;gensko kartiranje;mikrosateliti;molekulski markerji;hops;mapping;genetic mapping;genetic diversity;molecular markers;polymorphism;
High-throughput genotyping of hop (Humulus lupulus L.) utilising diversity arrays technology (DArT)
Leto: 2011 Vir: Biotehniška fakulteta (UL BF)
Fast Solvers and Efficient Implementations for Distance Metric Learning
Kilian Weinberger
Video in druga učna gradiva
Oznake: computer science;machine learning
In this paper we study how to improve nearest neighbor classification by learning a Mahalanobis distance metric. We build on a recently proposed framework for distance metric learning known as large margin nearest neighbor (LMNN) classification. Within this framework, we focus specifically on the ch ...
Leto: 2008 Vir: videolectures.net
Distance Metric Learning for Kernel Machines
Kilian Weinberger
Video in druga učna gradiva
Oznake: computer science;machine learning;learning to rank;kernel methods
Recent work in metric learning has significantly improved the state-of-the-art in k-nearest neighbor classification. However, Support vector machines (with RBF kernels) are arguably the most popular class of classification algorithms that uses distance metrics to compare examples. In this talk I wil ...
Leto: 2010 Vir: videolectures.net
Pure Spreading Activation is Pointless
Kilian Thiel
Video in druga učna gradiva
Oznake: computer science;bioinformatics
Spreading activation is a popular technique for retrieving and ranking indirectly related information by activating query items and spreading their activation along relatedness links. Almost every use of the technique is accompanied by its own set of restrictions on the dynamics, though, and the ...
Leto: 2009 Vir: videolectures.net
Learning with Marginalized Corruption
Kilian Q. Weinberger
Video in druga učna gradiva
Oznake: computer science;machine learning
Leto: 2013 Vir: videolectures.net
Compressing Neural Networks with the Hashing Trick
Kilian Q. Weinberger
Video in druga učna gradiva
Oznake: computer science;machine learning
As deep nets are increasingly used in applications suited for mobile devices, a fundamental dilemma becomes apparent: the trend in deep learning is to grow models to absorb ever-increasing data set sizes; however mobile devices are designed with very little memory and cannot store such large models. ...
Leto: 2015 Vir: videolectures.net
Between shores
Kilian Schirmer, Jelena Juvan
Magistrsko delo
Oznake: Libya conflict;EU foreign policy;EU-Turkey relationship;Mediterranean;Turkey;
This paper deals with the challenges facing the EU in the Mediterranean. In particular, it addresses the conflict in Libya and relations with Turkey. Neoclassical realism is explained in depth and its differing analytical levels applied to the situations at hand. The analysis shows that the EU's pro ...
Leto: 2026 Vir: Fakulteta za družbene vede (UL FDV)
Panel discussion
Guillaume Obozinski , Raquel Urtasun , Massimiliano Pontil , Kilian Weinberger
Video in druga učna gradiva
Oznake: computer science;machine learning;kernel methods;multiple kernel learning
Leto: 2010 Vir: videolectures.net
Survey and evaluation of query intent detection methods
Daniel Gayo Avello , Kilian Pérez-González , David J. Brenes
Video in druga učna gradiva
Oznake: computer science;information retrieval
Leto: 2009 Vir: videolectures.net
Functional recycling of grain boundary diffusion processed Nd-Fe-B sintered magnets
Mario Schönfeldt, Jürgen Rossa, Konrad Opelt, Kilian Schäfer, Lukas Schäfer, Fernando Maccari, Matic Klug Jovičević, Tim M. Schwarz, Chi-Chia Lin, Mahmudul Hasan, Jürgen Gassmann, Dierk Raabe, Oliver Gutfleisch
Izvirni znanstveni članek
Oznake: materiali;magneti;vodik;recikliranje;recycling;hard magnets;rare earth;grain boundary diffusion;coercivit;
Leto: 2025 Vir: Kemijski inštitut (KI)
Št. zadetkov: 11
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