ÆÐÅÏÀνÄ
¿ë¾î
±ºÁýÈ
(Clustering)
±â°èÇнÀ (Machine Learning)
·Îº¿ (Robot)
¸Á¸·ÀνÄ
(Retina Recognition)
¹®ÀÚÀνÄ
(Character Recognition)
º£ÀÌÁî
Á¤¸® (Bayes'
Theorem)
ºÒÈ®½Ç¼º
(Uncertainty)
»ç°í (Thinking)
»ý¸®ÇÐ
(physiology)
»ýüÀÎ½Ä (Biometrics)
¼¸íÀνÄ
(Signature Verification)
¼Õ¸ð¾çÀνÄ
(Hand Geometry)
¼öÄ¡ÇØ¼®
(Numerical Analysis)
¼öÇÐ
(Mathematics)
½Å°æ¸Á (Neural
Network)
½É¸®ÇÐ
(Psychology)
¾ó±¼ÀνÄ
(Face Recognition)
¿¹Ãø (Prediciton)
¿ìµµ (Likelihood)
À¯¿¬ÇÑ
ÄÄÇ»ÆÃ (Soft Computing)
À¯Àü¾Ë°í¸®Áò (Genetic
Algorithm)
À½¼ºÀÎ½Ä (Speech Recognition)
ÀÌÇØ
(Understanding)
±¤Çй®ÀÚÀνÄ
(Optical Character Recognition)
ÇʱâüÀνÄ
(Handwriting Recognition)
ÀÎÁö
(Cognition)
ÀÎÁö°úÇÐ (Cognitive Science)
ÀΰøÁö´É
(Artificial Intelligence)
ÀÚ¿¬¾îó¸® (Natural Language Processing)
ÀÚÀ²ÇнÀ (Unsupervised
Learning)
Á¤¸ÆÀνÄ
(Vein Recognition)
ÁöµµÇнÀ (Supervised
Learning)
Áö¹®ÀνÄ
(Finger
Print Recognition)
Áø´Ü (Diagnosis)
ÃÖ¼ÒÀڽ (Least
Square)
Ãß·Ð
(Reasoning)
Ä¿³Î (Kernel)
ÄÄÇ»ÅÍ
(Computer)
Åë°è
(Statistics)
ÆÐÅÏÀÎ½Ä (Pattern Recognition)
ÆÐÅϸÅĪ (Pattern
Matching)
ÆÛÁö
(Fuzzy)
ÇнÀ
(Learning)
ȫäÀνÄ
(Iris Recognition)
È®·ü
(Probability)
È÷½ºÅä±×·¥
(Histogram)
K-Æò±Õ
¾Ë°í¸®Áò (K-means
Algorithm)
K-ÃÖ±Ù¸°
ºÐ·ù (K-Nearest
Neighbor Classification)
Naive Bayesian Classification
ÃÖ±Ù¸° ºÐ·ù (Nearest Neighbour Classification)
Non-parametric Decision Making
Parametric Decision Making : Statistical Decision
Making
Pattern Matching
Support
Vector Machine