Performance of PCA and Joint Autoencoder (JAE) denoising algorithms. by Ege Altan (11768156)

Subjects:

Dimensionality of noise free datasets with unequal variance. by Ege Altan (11768156)

Subjects:

Dimensionality of noise free datasets. by Ege Altan (11768156)

Subjects:

Recommended analysis pipeline for estimating the dimensionality of multi-electrode array recordings. by Ege Altan (11768156)

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Function <i>χ</i>_<i>opt</i> superimposed with the phase-field function indicating the channel geometry. by Martina Bukač (20161460)

The algorithm for the same-day surgery protocol. by Magnus Tveit (11442200)

Standard benchmark 28 test functions. by Qianhang Du (13410314)

Our algorithms process large data sets within a minute. by Manu Aggarwal (15990691)

Route for bays29 output by ABSQL algorithm. by Jin Zhang (53297)

“…DSRABSQL builds upon the Q-learning (QL) algorithm. Considering its problems of slow convergence and low accuracy, four strategies within the QL framework are designed first: the weighting function-based reward matrix, the power function-based initial Q-table, a self-adaptive <i>ε-beam</i> search strategy, and a new Q-value update formula. …”

Networking Chemicals Flows: Efficiency–Value–Environment Functionalized Symbiosis Algorithms and Application by Yizheng Lyu (17346506)

Networking Chemicals Flows: Efficiency–Value–Environment Functionalized Symbiosis Algorithms and Application by Yizheng Lyu (17346506)

Networking Chemicals Flows: Efficiency–Value–Environment Functionalized Symbiosis Algorithms and Application by Yizheng Lyu (17346506)

Flowchart for Algorithm 1. by Sagvan Y. Musa (17797611)

Detailed information of benchmark functions. by Guangwei Liu (181992)

“…In Case 1, the GJO-GWO algorithm addressed eight complex benchmark functions. …”

Exponent in memory kernel and intensity function. by Mariko I. Ito (5007323)

Reconstructing <i>sparse</i>, binary patterns using message passing algorithms and PCA. by Sebastian Goldt (14522594)

“…Lines depict the result of the state evolution, while crosses denote the performance of the AMP algorithm on an instance of the problem. While AMP performs the same starting from both initialisations for <i>ρ</i> = 0.1 and <i>ρ</i> = 0.3, there is a gap in performance for <i>ρ</i> = 0.05, which might hint at the existence of a hard phase (see main text). …”

The <i>min</i> obtained by DSRABSQL, S2V-DQN and 2-opt-DRL algorithms for 25 instances. by Jin Zhang (53297)

<i>S</i>_<i>c</i> of ch150, rat575 and fl1400 for algorithms of each group. by Jin Zhang (53297)

Utility functions for attributes for different applications. by Nada Ahmed Ezz-Eldien (17396553)

Subjects: “…gravitational search algorithm…”

<i>S</i>_<i>c</i> and rank of DSRABSQL and VDWOA algorithms in <i>G</i>_<i>1</i>. by Jin Zhang (53297)