Št. zadetkov: 45
Izvirni znanstveni članek
Oznake:
bioenergetic capacity;resilience;Alzheimer's disease;bioenergetska zmogljivost;odpornost;Alzheimerjeva bolezen;
Impaired glucose uptake in the brain is one of the earliest presymptomatic manifestations of Alzheimer's disease (AD). The absence of symptoms for extended periods of time suggests that compensatory metabolic mechanisms can provide resilience. Here, we introduce the concept of a systemic 'bioenerget ...
Leto:
2025
Vir:
Medicinska fakulteta (UL MF)
Video in druga učna gradiva
Oznake:
computer science;machine learning;statistical learning
I will present a finite-sample generalization analysis of two-part code MDL estimator. This method selects a model that minimizes the sum of the model description length plus the data description length given the model. It can be shown that under various conditions, optimal rate of convergence can b ...
Leto:
2008
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;structured data
In this paper we study asymmetric proximity measures on directed
graphs, which quantify the relationships between two nodes or two
groups of nodes. The measures are useful in several graph mining
tasks, including clustering, link prediction and connection subgraph
discovery. Our proximity measur ...
Leto:
2007
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;pattern recognition
We focus on large graphs where nodes have attributes, such as a social network where the nodes are labelled with each person’s job title. In such a setting, we want to find subgraphs that match a user query pattern. For example, a ‘star’ query would be, “find a CEO who has strong interactions with a ...
Leto:
2007
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;text mining
I will give a general overview of using prediction methods in text mining applications, including text categorization, information extraction, summarization, and question answering. I will then discuss some of the more advanced issues encountered in real applications such as structured and complicat ...
Leto:
2006
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;information retrieval;web mining
The talk is divided into two parts. The first part focuses on web-search ranking, for which I discuss training relevance models based on DCG (discounted cumulated gain) optimization. Under this metric, the system output quality is naturally determined by the performance near the top of its rank-list ...
Leto:
2006
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;bayesian learning
We introduce a complexity measure which we call KL-complexity. Based on this concept, we present a general information exponential inequality that measures the statistical complexity of some deterministic and randomized estimators. We show that simple and clean finite sample convergence bounds can b ...
Leto:
2004
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
I will present a novel approach to semi-supervised learning that employs a method
which we refer to as structural learning (aka multi-task learning). The idea is to learn
predictive structures from many auxiliary problems that are created from the unlabeled
data (and are related to the target pro ...
Leto:
2006
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;statistical learning
We consider optimization formulations with non-convex regularization that are natural for learning sparse linear models. There are two approaches to this problem: 1. Heuristic methods such as gradient descent that only find a local minimum; a drawback of this approach is the lack of theoretical guar ...
Leto:
2009
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;big data;semantic web
In recent years, an increasing number of semantic data sources have been published on the web. These sources are further interlinked to form the Linking Open Data (LOD) cloud. To make full use of these data sets, it is necessary to learn their data qualities. Researchers have proposed several metric ...
Leto:
2016
Vir:
videolectures.net