The p-values of the t-tests of the daily entropy rate (predictability) for pairs of different types of segments in House 55. by Yan Wang (15435)

Subjects:

Loss function curve graphs. by Huiying Zhang (200681)

The number of t-test with p-value < 0.01 versus the number of t-test with p-value > = 0.01 for comparing the means of entropy rate in two different types of segments. by Yan Wang (15435)

Subjects:

Filled contour plot based on histograms of the occurence-frequency of binned values of and as a function of rate ratio . by Paul Kinsler (3975620)

Estimated HR trace comparison for two subjects of the ISPC dataset, obtained by DFDF (with MA cancellation only), FSM-DFDF (with MA cancellation and FSM framework), and FSM-SGPS (t... by Heewon Chung (2881286)

Subjects:

Comparative experimental data of loss functions. by Huiying Zhang (200681)

“…Experimental results show that the detection accuracy of 78% for small infrared nighttime targets, with a recall rate of 58.6%, an mAP value of 67%. and a parameter count of 20.9M for the MDCFVit-YOLO model. …”

Reward function related parameters. by Honglei Pang (22693724)

Subjects:

A parabolic relationship between prediction errors and learning rates obtained by a cubic learning algorithm. by Boluwatife Ikwunne (22238697)

Comparison of the curves of the DCIOU loss function and the CIOU loss function. by Xunqian Xu (21261899)

Subjects:

Example psychometric functions for observer DHB. by Daniel H. Baker (11559693)

Multimodal reference functions. by Ruiyu Zhan (21602031)

“…Utilizing the diabetes dataset from 130 U.S. hospitals, the LGWO-BP algorithm achieved a precision rate of 0.97, a sensitivity of 1.00, a correct classification rate of 0.99, a harmonic mean of precision and recall (F1-score) of 0.98, and an area under the ROC curve (AUC) of 1.00. …”

Relationship of map-reduce job configuration parameters. by Jin Ding (11522)

Subjects:

Wilcoxon’s test. by Jin Ding (11522)

Subjects:

Individual expression tree. by Jin Ding (11522)

Subjects:

Parameters setting of experiment. by Jin Ding (11522)

Subjects:

RMSE comparison in all test function (a) F1 (b) F2 (c) F3 (d) F4 (e) F5 (f) F6 (g) F7 (h) F8 (i) F9 (j) F10. by Jin Ding (11522)

Subjects:

Evolutionary processes on special functions (a) NMO-SARA vs MS-GEP-A (b) GEP vs MS-GEP-I (c) FF-GEP vs MS-GEP. by Jin Ding (11522)

Subjects:

GP problems. by Jin Ding (11522)

Subjects:

MS-GEP genetic operation. by Jin Ding (11522)

Subjects:

Performance comparison in CP-EE model (a) SVR model (b) BPNN model (c) RF model (d) MS-GEP model. by Jin Ding (11522)

Subjects: