Titlebook: Machine Learning and Knowledge Discovery in Databases; European Conference, Walter Daelemans,Bart Goethals,Katharina Morik Conference proce

Uncultured

DAFT

MEAN

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

無表情

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

GLIB

永久

Fitted Natural Actor-Critic: A New Algorithm for Continuous State-Action MDPsork in [1] to allow for general function approximation and data reuse. We combine the natural actor-critic architecture [1] 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

A New Natural Policy Gradient by Stationary Distribution Metriccept of “natural gradient” that takes the Riemannian metric of the parameter space into account. Kakade [2] 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

構(gòu)想

長矛

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