Journal Title：Machine Learning

Machine Learning is an international forum for research on computational approaches to learning. The journal publishes articles reporting substantive results on a wide range of learning methods applied to a variety of learning problems, including but not limited to:

Learning Problems: Classification, regression, recognition, and prediction; Problem solving and planning; Reasoning and inference; Data mining; Web mining; Scientific discovery; Information retrieval; Natural language processing; Design and diagnosis; Vision and speech perception; Robotics and control; Combinatorial optimization; Game playing; Industrial, financial, and scientific applications of all kinds.

Learning Methods: Supervised and unsupervised learning methods (including learning decision and regression trees, rules, connectionist networks, probabilistic networks and other statistical models, inductive logic programming, case-based methods, ensemble methods, clustering, etc.); Reinforcement learning; Evolution-based methods; Explanation-based learning; Analogical learning methods; Automated knowledge acquisition; Learning from instruction; Visualization of patterns in data; Learning in integrated architectures; Multistrategy learning; Multi-agent learning.

機(jī)器學(xué)習(xí)是研究計(jì)算學(xué)習(xí)方法的國(guó)際論壇。該期刊發(fā)表的文章報(bào)告了應(yīng)用于各種學(xué)習(xí)問(wèn)題的廣泛學(xué)習(xí)方法的實(shí)質(zhì)性成果，包括但不限于：

學(xué)習(xí)問(wèn)題：分類、回歸、識(shí)別和預(yù)測(cè)；問(wèn)題解決和規(guī)劃；推理和推論；數(shù)據(jù)挖掘；網(wǎng)絡(luò)挖掘；科學(xué)發(fā)現(xiàn)；信息檢索；自然語(yǔ)言處理；設(shè)計(jì)和診斷；視覺(jué)和語(yǔ)音感知；機(jī)器人和控制；組合優(yōu)化；游戲；各種工業(yè)、金融和科學(xué)應(yīng)用。

學(xué)習(xí)方法：監(jiān)督和無(wú)監(jiān)督學(xué)習(xí)方法（包括學(xué)習(xí)決策和回歸樹(shù)、規(guī)則、聯(lián)結(jié)網(wǎng)絡(luò)、概率網(wǎng)絡(luò)和其他統(tǒng)計(jì)模型、歸納邏輯編程、基于案例的方法、集成方法、聚類等）；強(qiáng)化學(xué)習(xí)；基于進(jìn)化的方法；基于解釋的學(xué)習(xí)；類比學(xué)習(xí)方法；自動(dòng)知識(shí)獲?。粡闹噶钪袑W(xué)習(xí)；數(shù)據(jù)模式可視化；集成架構(gòu)中的學(xué)習(xí)；多策略學(xué)習(xí)；多智能體學(xué)習(xí)。

Machine Learning創(chuàng)刊于1986年，由Springer US出版商出版，收稿方向涵蓋工程技術(shù) - 計(jì)算機(jī)：人工智能全領(lǐng)域，此刊是中等級(jí)別的SCI期刊，所以過(guò)審相對(duì)來(lái)講不是特別難，但是該刊專業(yè)認(rèn)可度不錯(cuò)，仍然是一本值得選擇的SCI期刊 。平均審稿速度 較慢,6-12周 ，影響因子指數(shù)4.3，該期刊近期沒(méi)有被列入國(guó)際期刊預(yù)警名單，廣大學(xué)者值得一試。