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Št. zadetkov: 88
Izvirni znanstveni članek
Oznake: classification;family rank;phylogenomics;systematics;monophyly;spider phylogeny;zoology;
Higher-level classifications often must account for monotypic taxa representing depauperate evolutionary lineages and lacking synapomorphies of their better-known, well-defined sister clades. In a ranked (Linnean) or unranked (phylogenetic) classification system, discovering such a depauperate taxon ...
Leto: 2023 Vir: Nacionalni inštitut za biologijo (NIB)
Izvirni znanstveni članek
Oznake: pajki;razvoj spolnega dimorfizma;zlati mrežarji;analize;spiders;evolution of sexual size dimorphism;golden orbweavers;analyses;
Instances of sexual size dimorphism (SSD) provide the context for rigorous tests of biological rules of size evolution, such as Cope’s rule (phyletic size increase), Rensch’s rule (allometric patterns of male and female size), as well as male and female body size optima. In certain spider groups, su ...
Leto: 2019 Vir: Znanstvenoraziskovalni center Slovenske akademije znanosti in umetnosti (ZRC-SAZU)
Izvirni znanstveni članek
Oznake: psychoanalysis;politics;fantasy;identity;
Leto: 2011 Vir: dLib.si Digitalna knjižnica Slovenije
Video in druga učna gradiva
Oznake: computer science;information extraction
We study the standard retrieval task of ranking a fixed set of items given a previously unseen query and pose it as the half transductive ranking problem. The task is transductive as the set of items is fixed. Transductive representations (where the vector representation of each example is learned) ...
Leto: 2010 Vir: videolectures.net
Video in druga učna gradiva
Oznake: biology;zoology;arachnology
Advances in molecular techniques over the past decades have significantly shaped the field of systematics and taxonomy. Approaches to species delimitation that employ methods like DNA barcoding and generalized mixed Yule coalescent models are seemingly attractive because they present a more simplifi ...
Leto: 2012 Vir: videolectures.net
Video in druga učna gradiva
Oznake:
We show how the regularizer of Transductive Support Vector Machines (TSVM) can be trained by stochastic gradient descent for linear models and multi-layer architectures. The resulting methods can be trained online, have vastly superior training and testing speed to existing TSVM algorithms, can enco ...
Leto: 2008 Vir: videolectures.net
Video in druga učna gradiva
Oznake: computer science;machine learning;artificial intelligence
Leto: 2008 Vir: videolectures.net
Video in druga učna gradiva
Oznake:
Leto: 2008 Vir: videolectures.net
Video in druga učna gradiva
Oznake: computer science;machine learning
In EM and related algorithms, E-step computations distribute easily, because data items are independent given parameters. For very large data sets, however, even storing all of the parameters in a single node for the M-step can be impractical. We present a framework which fully distributes the entir ...
Leto: 2008 Vir: videolectures.net
Video in druga učna gradiva
Oznake: computer science;web search
Reinforcement Learning methods for controlling stochastic processes typically assume a small and discrete action space. While continuous action spaces are quite common in real-world problems, the most common approach still employed in practice is coarse discretization of the action space. This paper ...
Leto: 2009 Vir: videolectures.net
Št. zadetkov: 88
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