Slide 13
Slide 13 text
関数モデル AAACAHicbVDLTsJAFJ3iC/GFunQzkZhgYkjLS9wR3bjERB4RmmY6TGHCdNrMTA2kYeM3uNW1O+PWP3HpnzhAF4Ke5CYn59ybe+9xQ0alMs0vI7W2vrG5ld7O7Ozu7R9kD49aMogEJk0csEB0XCQJo5w0FVWMdEJBkO8y0nZHNzO//UiEpAG/V5OQ2D4acOpRjJSWHrz82LEuxk7x3MnmzMJVzSxVLGgWilapWi1rYs4BrYTkQIKGk/3u9QMc+YQrzJCUXcsMlR0joShmZJrpRZKECI/QgHQ15cgn0o7nF0/hmVb60AuELq7gXP09ESNfyonv6k4fqaFc9Wbif143Ul7NjikPI0U4XizyIgZVAGfvwz4VBCs20QRhQfWtEA+RQFjpkJa2uP5UZ2KtJvCXtIoFq1qo3JVz9esknTQ4AacgDyxwCergFjRAE2DAwTN4Aa/Gk/FmvBsfi9aUkcwcgyUYnz8cepai
f(x1, x2)
機械学習はデータを予測に変えることができる
p1 p2 p3 p4
ʜ
⼊⼒⾒本点を関数モデルで内挿することで⾒本点以外での予測値を得る
AAAB+XicbVA9TwJBEJ3DL8Qv1NJmIzGxInfGr5JoY4nRAxK4kL1lDzbs7l1294zkwk+w1drO2PprLP0nLnCFgC+Z5OW9mczMCxPOtHHdb6ewsrq2vlHcLG1t7+zulfcPGjpOFaE+iXmsWiHWlDNJfcMMp61EUSxCTpvh8HbiN5+o0iyWj2aU0EDgvmQRI9hY6eG563XLFbfqToGWiZeTCuSod8s/nV5MUkGlIRxr3fbcxAQZVoYRTselTqppgskQ92nbUokF1UE2PXWMTqzSQ1GsbEmDpurfiQwLrUcitJ0Cm4Fe9Cbif147NdF1kDGZpIZKMlsUpRyZGE3+Rj2mKDF8ZAkmitlbERlghYmx6cxtCcXYZuItJrBMGmdV77J6cX9eqd3k6RThCI7hFDy4ghrcQR18INCHF3iFNydz3p0P53PWWnDymUOYg/P1C7x/lEA=
x1
AAAB+XicbVA9TwJBEJ3DL8Qv1NJmIzGxIndE1JJoY4lRPhK4kL1lDzbs7l1294zkwk+w1drO2PprLP0nLnCFgC+Z5OW9mczMC2LOtHHdbye3tr6xuZXfLuzs7u0fFA+PmjpKFKENEvFItQOsKWeSNgwznLZjRbEIOG0Fo9up33qiSrNIPppxTH2BB5KFjGBjpYfnXqVXLLlldwa0SryMlCBDvVf86fYjkggqDeFY647nxsZPsTKMcDopdBNNY0xGeEA7lkosqPbT2akTdGaVPgojZUsaNFP/TqRYaD0Wge0U2Az1sjcV//M6iQmv/ZTJODFUkvmiMOHIRGj6N+ozRYnhY0swUczeisgQK0yMTWdhSyAmNhNvOYFV0qyUvcty9f6iVLvJ0snDCZzCOXhwBTW4gzo0gMAAXuAV3pzUeXc+nM95a87JZo5hAc7XL74SlEE=
x2
12
⾒本点(データ)
AAACAnicbVDLSgMxFM3UV62vqks3wSJUkDJTfG2EohuXFewD2mHIpJk2NMkMSUY6DN35DW517U7c+iMu/RPTdha29cCFwzn3ci7HjxhV2ra/rdzK6tr6Rn6zsLW9s7tX3D9oqjCWmDRwyELZ9pEijArS0FQz0o4kQdxnpOUP7yZ+64lIRUPxqJOIuBz1BQ0oRtpI3eQmKI8852zkVU+9Ysmu2FPAZeJkpAQy1L3iT7cX4pgToTFDSnUcO9JuiqSmmJFxoRsrEiE8RH3SMVQgTpSbTn8ewxOj9GAQSjNCw6n69yJFXKmE+2aTIz1Qi95E/M/rxDq4dlMqolgTgWdBQcygDuGkANijkmDNEkMQltT8CvEASYS1qWkuxedj04mz2MAyaVYrzmXl4uG8VLvN2smDI3AMysABV6AG7kEdNAAGEXgBr+DNerberQ/rc7aas7KbQzAH6+sXQ3GXPA==
y = f(x1, x2)
関数値(予測)
⼊⼒ 出⼒