开课单位--以色列理工学院
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A Minimal Variance Estimator for the Cardinality of Big Data Set Intersection[大数据集交集基数的最小方差估计器]
   Aviv Yehezkel(以色列理工学院) In recent years there has been a growing interest in developing "streaming algorithms" for efficient processing and querying of continuous d...
热度:20

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Selective Sampling with Almost Optimal Guarantees for Learning to Rank from Pairwise Preferences[具有几乎最优保证的选择性抽样用于学习从成对偏好排序]
  Ron Begleiter(以色列理工学院) Selective Sampling with Almost Optimal Guarantees for Learning to Rank from Pairwise Preferences
热度:28

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Off-policy Model-based Learning under Unknown Factored Dynamics[未知因素动态下基于非策略模型的学习]
   Assaf Hallak(以色列理工学院) Off-policy learning in dynamic decision problems is essential for providing strong evidence that a new policy is better than the one in use. But how c...
热度:37

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Context-Aware Saliency Detection[上下文感知显著性检测]
  Lihi Zelnik-Manor(以色列理工学院) We propose a new type of saliency – context-aware saliency – which aims at detecting the image regions that represent the scene. This defi...
热度:120

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The Sample Complexity of Dictionary Learning[字典学习的样本复杂性]
  Daniel Vainsencher(以色列理工学院) A large set of signals can sometimes be described sparsely using a dictionary, that is, every element can be represented as a linear combination of fe...
热度:125

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Online Learning for Time Series Prediction[在线学习时间序列预测]
  Elad Hazan(以色列理工学院) In this paper, we address the problem of predicting a time series using the ARMA (autoregressive moving average) model, under minimal assumptions on t...
热度:268

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Beyond Basic Faceted Search[超越基本面搜索]
  Nadav Golbandi(以色列理工学院)  Beyond Basic Faceted Search
热度:101

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When Abstractions Met Landmarks[当抽象遇到地标]
  Carmel Domshlak(以色列理工学院) Abstractions and landmarks are two powerful mechanisms for devising admissible heuristics for classical planning. Here we aim at putting them together...
热度:65

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Landmarks in Heuristic-Search Planning[启发式搜索规划中的地标]
   Silvia Richter;Erez Karpas(以色列理工学院) The recent past has seen a resurge of interest in landmarks for heuristic-search planning. Landmarks are subgoals that have to become true at some poi...
热度:68

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Bootstrapping Skills[自举技巧]
  Daniel Mankowitz(以色列理工学院) The monolithic approach to policy representation in Markov Decision Processes (MDPs) looks for a single policy that can be represented as a function f...
热度:46
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