Št. zadetkov: 32
Izvirni znanstveni članek
Oznake:
slikanje možganov;obdelava podatkov;funkcijsko magnetnoresonančno slikanje fMRI;analize;možgani;difuzija;neuroimaging;data processing;functional magnetic resonance imaging fMRI;analysis;brain;diffusion;
Leto:
2023
Vir:
Filozofska fakulteta (UL FF)
Youngsun T. Cho,
Flora Moujaes,
Charles H. Schleifer,
Martina Starc,
Jie Lisa Ji,
Nicole Santamauro,
Brendan D. Adkinson,
Antonija Kolobaric,
Morgan Flynn,
John Harrison Krystal,
John D. Murray,
Grega Repovš,
Alan Anticevic
Izvirni znanstveni članek
Oznake:
nevroznanost;kognicija;motivacija;delovni spomin;prostorski spomin;nagrade;možgani;neurosciences;cognition;motivation;short term memory;spatial memory;rewards;brain;
Integrating motivational signals with cognition is critical for goal-directed activities. The mechanisms that link neural changes with motivated working memory continue to be understood. Here, we tested how externally cued and non-cued (internally represented) reward and loss impact spatial working ...
Leto:
2022
Vir:
Filozofska fakulteta (UL FF)
Video in druga učna gradiva
Oznake:
computer science;semantic web;ontologies
Leto:
2006
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;semantic web;annotation
Leto:
2006
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;network analysis;social networks
In large social networks, nodes (users, entities) are influenced by others for various reasons. For example, the colleagues have strong influence on one's work, while the friends have strong influence on one's daily life. How to differentiate the social influences from different angles(topics)? How ...
Leto:
2009
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;clustering
Co-clustering is based on the duality between data points (e.g. documents) and features (e.g. words), i.e. data points can be grouped based on their distribution on features, while features can be grouped based on their distribution on the data points. In the past decade, several co-clustering algor ...
Leto:
2009
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;data mining;knowledge extraction
Conformity is a type of social influence involving a change in opinion or behavior in order to fit in with a group. Employing several social networks as the source for our experimental data, we study how the effect of conformity plays a role in changing users' online behavior. We formally define sev ...
Leto:
2013
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning
In many real world applications we do not have access to fully-labeled training data, but only to a list of possible labels. This is the case, e.g., when learning visual classifiers from images downloaded from the web, using just their text captions or tags as learning oracles. In general, these pro ...
Leto:
2010
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;reinforcement learning
Likelihood ratio policy gradient methods have been some of the most successful reinforcement learning algorithms, especially for learning on physical systems. We describe how the likelihood ratio policy gradient can be derived from an importance sampling perspective. This derivation highlights how l ...
Leto:
2010
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;computer vision
Accurate face alignment is a vital prerequisite step for most face perception tasks such as face recognition, facial expression analysis and non-realistic face re-rendering. It can be formulated as the nonlinear inference of the facial landmarks from the detected face region. Deep network seems a go ...
Leto:
2014
Vir:
videolectures.net