Table III.

Classification Errors (%) on the Unlabeled Data Obtained by the Different Algorithms. The Best Results and Those That Are Not Statistically Worse (According to the Two-Sample One-Tailed t-Test, With a p-Value of 0.05) Are in Bold. Note That, LGC and LapRLS Cannot Be Run on the Large Data Sets of Svmgd1a, Usps-Full, and Satimage

	(SUPERVISED)	(SEMI-SUPERVISED)
DATA	SVM	LGC	LapRLS	LapSVMp	NYS-LGC	NFI	ANCHOR	PVM(sqr)	PVM(hinge)
G241C	22.34±1.41	21.92±1.90	22.02±1.73	25.82±1.75	24.19±3.06	28.07±2.71	35.15±1.45	24.50±2.49	23.21±1.95
Q241D	25.14±2.03	28.10±3.27	22.36±1.78	25.89±1.12	30.98±4.22	30.82±5.36	36.61±2.07	25.15±2.58	24.85±2.70
DIGIT1	4.70±1.09	5.74±1.09	5.74±1.50	1.84±0.37	6.68±1.63	9.83±1.43	3.56±0.45	4.18±1.17	3.72±1.07
USPS	9.30±2.81	4.57±1.27	6.11±0.63	5.23±2.34	9.72±1.82	5.49±0.78	15.90±3.41	5.29±0.73	6.35±1.33
COIL2	11.17±0.91	14.37±3.63	10.83±1.94	12.74±2.16	16.90±3.00	13.98±2.48	8.11±1.64	11.69±2.47	14.85±2.36
COIL	12.21±1.81	12.38±1.99	21.17±1.71	7.79±0.74	18.75±1.48	30.93±6.22	12.41±0.67	13.41±1.29	12.26±1.01
BCI	35.17±3.29	44.43±2.28	29.16±3.56	46.23±3.16	45.45±2.62	45.67±2.61	48.37±2.61	33.59±3.01	31.65±2.86
TEXT	24.35±2.14	23.09±1.43	23.99±1.58	22.75±1.30	34.40±3.63	32.54±2.66	27.28±1.01	30.4±4.46	26.29±2.58
SPLICE	24.33±1.13	22.85±1.47	19.78±2.41	33.76±2.53	30.56±3.16	34.56±1.97	29.11±0.97	23.47±1.59	25.32±2.48
SEGMENT	9.91±1.06	8.97±1.20	9.58±1.73	12.15±2.13	13.58±1.95	15.71±2.15	13.75±1.58	10.15±1.21	9.06±1.15
DNA	15.88±1.17	27.31±2.58	17.72±1.29	15.27±0.41	29.53±2.12	43.38±3.94	28.60±1.81	15.87±1.44	14.19±1.28
SVMGD1A	5.85±1.65	–	–	4.23±0.40	6.32±1.88	14.21±2.92	4.S4±0.62	5.24±1.09	6.08±1.55
USPS-FULL	6.39±0.50	–	–	4.16±0.13	17.68±1.57	14.43±0.89	7.43±0.29	7.35±0.62	5.88±0.91
SATIMAGE	14.59±0.71	–	–	13.81±0.22	16.36±0.64	19.27±3.74	14.80±0.56	14.64±0.50	13.27±0.53