Uncultured
发表于 2025-3-26 23:19:09
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DAFT
发表于 2025-3-27 03:11:36
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MEAN
发表于 2025-3-27 06:24:57
Exceptional Model Miningase as a whole. In classical subgroup discovery, one considers the distribution of a single nominal attribute, and exceptional subgroups show a surprising increase in the occurrence of one of its values. In this paper, we introduce . (EMM), a framework that allows for more complicated target concept
无表情
发表于 2025-3-27 10:01:50
A Joint Topic and Perspective Model for Ideological Discoursel discourse has been considered too difficult to undertake. In this paper we propose a statistical model for ideology discourse. By ideology we mean “a set of general beliefs socially shared by a group of people.” For example, Democratic and Republican are two major political ideologies in the Unite
大笑
发表于 2025-3-27 15:51:53
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GLIB
发表于 2025-3-27 20:32:14
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永久
发表于 2025-3-28 00:33:32
Fitted Natural Actor-Critic: A New Algorithm for Continuous State-Action MDPsork in to allow for general function approximation and data reuse. We combine the natural actor-critic architecture with a variant of fitted value iteration using importance sampling. The method thus obtained combines the appealing features of both approaches while overcoming their main weak
Hemiparesis
发表于 2025-3-28 06:00:39
A New Natural Policy Gradient by Stationary Distribution Metriccept of “natural gradient” that takes the Riemannian metric of the parameter space into account. Kakade applied it to policy gradient reinforcement learning, called a natural policy gradient (NPG). Although NPGs evidently depend on the underlying Riemannian metrics, careful attention was not pai
构想
发表于 2025-3-28 08:52:25
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长矛
发表于 2025-3-28 11:41:17
Improving Classification with Pairwise Constraints: A Margin-Based Approachting whether a pair of examples belongs to a same class or different classes. We introduce a discriminative learning approach that incorporates pairwise constraints into the conventional margin-based learning framework. We also present an efficient algorithm, PCSVM, to solve the pairwise constraint