Solve Classification Tasks with Probabilities. Statistically-Modeled Outputs

2017 ◽  
pp. 293-305 ◽  
Author(s):  
Andrey Gritsenko ◽  
Emil Eirola ◽  
Daniel Schupp ◽  
Edward Ratner ◽  
Amaury Lendasse
Keyword(s):  
Classification Tasks

Bases for Strategy Choice and Strategy Transitions in Binary Classification Tasks

2004 ◽  
Author(s):  
Lyle E. Bourne ◽  
Alice F. Healy ◽  
James A. Kole ◽  
William D. Raymond
Keyword(s):  
Binary Classification ◽  
Strategy Choice ◽  
Classification Tasks

Stacking Schema for Classification Tasks

2012 ◽  
Author(s):  
Eitan Menahem ◽  
Lior Rokach ◽  
Yuval Elovici
Keyword(s):  
Classification Tasks

Analyzing the Potential of Pre-Trained Embeddings for Audio Classification Tasks

2021 ◽  
Author(s):  
Sascha Grollmisch ◽  
Estefania Cano ◽  
Christian Kehling ◽  
Michael Taenzer
Keyword(s):  
Audio Classification ◽  
Classification Tasks

scholarly journals Music Modulates Cognitive Flexibility? An Investigation of the Benefits of Musical Training on Markers of Cognitive Flexibility

2021 ◽  
Vol 11 (4) ◽  
pp. 451
Author(s):  
Miriam Gade ◽  
Kathrin Schlemmer
Keyword(s):  
Everyday Life ◽  
Cognitive Flexibility ◽  
Musical Training ◽  
Rapid Change ◽  
Task Sequence ◽  
Switch Costs ◽  
Classification Tasks ◽  
Professional Contexts ◽  
The Impact ◽  
Task Sequences

Cognitive flexibility enables the rapid change in goals humans want to attain in everyday life as well as in professional contexts, e.g., as musicians. In the laboratory, cognitive flexibility is usually assessed using the task-switching paradigm. In this paradigm participants are given at least two classification tasks and are asked to switch between them based on valid cues or memorized task sequences. The mechanisms enabling cognitive flexibility are investigated through two empirical markers, namely switch costs and n-2 repetition costs. In this study, we assessed both effects in a pre-instructed task-sequence paradigm. Our aim was to assess the transfer of musical training to non-musical stimuli and tasks. To this end, we collected the data of 49 participants that differed in musical training assessed using the Goldsmiths Musical Sophistication Index. We found switch costs that were not significantly influenced by the degree of musical training. N-2 repetition costs were small for all levels of musical training and not significant. Musical training did not influence performance to a remarkable degree and did not affect markers of mechanisms underlying cognitive flexibility, adding to the discrepancies of findings on the impact of musical training in non-music-specific tasks.

scholarly journals T1K+: A Database for Benchmarking Color Texture Classification and Retrieval Methods

Sensors ◽  
2021 ◽  
Vol 21 (3) ◽  
pp. 1010
Author(s):  
Claudio Cusano ◽  
Paolo Napoletano ◽  
Raimondo Schettini
Keyword(s):  
Design Of Experiments ◽  
Texture Classification ◽  
Construction Materials ◽  
Heterogeneous Database ◽  
High Quality ◽  
Visual Descriptors ◽  
Classification Tasks ◽  
Color Texture

In this paper we present T1K+, a very large, heterogeneous database of high-quality texture images acquired under variable conditions. T1K+ contains 1129 classes of textures ranging from natural subjects to food, textile samples, construction materials, etc. T1K+ allows the design of experiments especially aimed at understanding the specific issues related to texture classification and retrieval. To help the exploration of the database, all the 1129 classes are hierarchically organized in 5 thematic categories and 266 sub-categories. To complete our study, we present an evaluation of hand-crafted and learned visual descriptors in supervised texture classification tasks.

scholarly journals Geometric graphs from data to aid classification tasks with Graph Convolutional Networks

Patterns ◽  
2021 ◽  
Vol 2 (4) ◽  
pp. 100237
Author(s):  
Yifan Qian ◽  
Paul Expert ◽  
Pietro Panzarasa ◽  
Mauricio Barahona
Keyword(s):  
Geometric Graphs ◽  
Convolutional Networks ◽  
Classification Tasks
Sign in / Sign up

Export Citation Format

Share Document