Analysis of ABIDE dataset: Conventional regression frameworks for optimized algorithmic value. حسب Alexandria M. Jensen (6494957)

الموضوعات:

Results from different ML algorithms. حسب Caroline L. Alves (14271413)

ROC curve for each ML algorithm. حسب Caroline L. Alves (14271413)

Distribution of cross correlations in functional connectivity in ABIDE sample. حسب Alexandria M. Jensen (6494957)

الموضوعات:

Confusion matrices depict the performance of various ML algorithms. حسب Caroline L. Alves (14271413)

Precise spatial delineation of brain cell types in adult mouse brain. حسب Nuray Sogunmez Erdogan (21533872)

Acurracy comparison of CCA and FBCCA algorithms. حسب Hossein Hamidi Shishavan (19688384)

Summary of greedy algorithms presented in this section. Details of approximation factors for FastGreedy and UnitGreedy may be found in [26] and [25], respectively. حسب Jeffrey Keithley (14626551)

الموضوعات:

Studies with ML classification algorithms for distinguishing ASD and ADHD groups described in subsection 1.2. حسب Caroline L. Alves (14271413)

Reverse engineering information flow using stimulus-encoding and stimulus-transfer estimation algorithms. حسب Gabriel Matías Lorenz (21094672)

Classification accuracy as a function of the amount of training data. حسب Dovilė Kurmanavičiūtė (21072549)

Percentage totBurden and percentage maxBurden reduced by UnitGreedy, SingletonGreedy, FastGreedy and baselines for = 0.535 in Iowa for FRED (first column) and SafeGraph (second col... حسب Jeffrey Keithley (14626551)

الموضوعات:

Metapopulation model notation. حسب Jeffrey Keithley (14626551)

الموضوعات:

Estimates of for each problem instance. حسب Jeffrey Keithley (14626551)

الموضوعات:

The instance of MaxCasesAverted and MaxPeaksReduced is a graph <i>G</i> constructed from the given instance of Max k-SI. حسب Jeffrey Keithley (14626551)

الموضوعات:

Percentage totBurden and percentage maxBurden reduced by UnitGreedy, FastGreedy and baselines for = 0.525 in Texas for FRED (first column) and SafeGraph (second column). حسب Jeffrey Keithley (14626551)

الموضوعات:

Approximation factors for each problem instance. حسب Jeffrey Keithley (14626551)

الموضوعات:

Percentage totBurden and percentage maxBurden reduced by all approaches for = 0.5345 in New Hampshire for FRED (first column) and SafeGraph (second column). حسب Jeffrey Keithley (14626551)

الموضوعات:

FastGreedy, UnitGreedy, SingletonGreedy, 3-EnumGreedy, and POMS comparison with respect to practical running time (estimated for POMS) to achieve approximation guarantee for New Ha... حسب Jeffrey Keithley (14626551)

الموضوعات:

The parameters of algorithms. حسب Le Huu Binh (18340233)

"…However, solving the RNP problem in WMN is difficult because it is NP-hard. As a result, this problem can only be solved using approximate optimization algorithms such as heuristics and meta-heuristics. …"