Dr. J. Liu, Harvard, Tutorial: Gibbs Sampler and MCMC Methods
To begin viewing slides, click on the first slide below. Author entry (protected)
SELECT Lab::Tutorial at ICML 2008: Beyond Convexity - Submodularity in Machine Learning
Beyond Convexity: Submodularity in Machine Learning Description Convex optimization has become a main workhorse for many machine learning algorithms during the past ten years. When minimizing a convex loss function for, e.g., training a Support Vector Machine, we can rest assured to efficiently find an optimal solution, even for large problems. In recent years, another fundamental problem st
1
リリース、障害情報などのサービスのお知らせ
最新の人気エントリーの配信
処理を実行中です
j次のブックマーク
k前のブックマーク
lあとで読む
eコメント一覧を開く
oページを開く
Active Learning with Statistical Models
