Sciweavers

AAAI
2015
9 years 11 months ago
Unsupervised Cross-Domain Transfer in Policy Gradient Reinforcement Learning via Manifold Alignment
The success of applying policy gradient reinforcement learning (RL) to difficult control tasks hinges crucially on the ability to determine a sensible initialization for the poli...
Haitham Bou-Ammar, Eric Eaton, Paul Ruvolo, Matthe...
AAAI
2015
9 years 11 months ago
Inferring Same-As Facts from Linked Data: An Iterative Import-by-Query Approach
In this paper we model the problem of data linkage in Linked Data as a reasoning problem on possibly decentralized data. We describe a novel import-by-query algorithm that alterna...
Mustafa Al-Bakri, Manuel Atencia, Steffen Lalande,...
AAAI
2015
9 years 11 months ago
Clustering Longitudinal Clinical Marker Trajectories from Electronic Health Data: Applications to Phenotyping and Endotype Disco
Diseases such as autism, cardiovascular disease, and the autoimmune disorders are difficult to treat because of the remarkable degree of variation among affected individuals. Sub...
Peter Schulam, Fredrick Wigley, Suchi Saria
AAAI
2015
9 years 11 months ago
A Comparison of Qualitative and Metric Spatial Relation Models for Scene Understanding
Object recognition systems can be unreliable when run in isolation depending on only image based features, but their performance can be improved when taking scene context into acc...
Akshaya Thippur, Chris Burbridge, Lars Kunze, Mari...
AAAI
2015
9 years 11 months ago
Egalitarian Collective Decision Making under Qualitative Possibilistic Uncertainty: Principles and Characterization
This paper raises the question of collective decision making under possibilistic uncertainty; We study four egalitarian decision rules and show that in the context of a possibilis...
Nahla Ben Amor, Fatma Essghaier, Hélè...
AAAI
2015
9 years 11 months ago
A Stackelberg Game Approach for Incentivizing Participation in Online Educational Forums with Heterogeneous Student Population
Increased interest in web-based education has spurred the proliferation of online learning environments. However, these platforms suffer from high dropout rates due to lack of su...
Rohith Dwarakanath Vallam, Priyanka Bhatt, Debmaly...
AAAI
2015
9 years 11 months ago
Embedded Unsupervised Feature Selection
Sparse learning has been proven to be a powerful technique in supervised feature selection, which allows to embed feature selection into the classification (or regression) proble...
Suhang Wang, Jiliang Tang, Huan Liu
AAAI
2015
9 years 11 months ago
Resolving Over-Constrained Probabilistic Temporal Problems through Chance Constraint Relaxation
When scheduling tasks for field-deployable systems, our solutions must be robust to the uncertainty inherent in the real world. Although human intuition is trusted to balance rew...
Peng Yu, Cheng Fang, Brian Williams
AAAI
2015
9 years 11 months ago
Ontology Module Extraction via Datalog Reasoning
Module extraction—the task of computing a (preferably small) fragment M of an ontology T that preserves entailments over a signature Σ—has found many applications in recent y...
Ana Armas Romero, Mark Kaminski, Bernardo Cuenca G...
AAAI
2015
9 years 11 months ago
TDS+: Improving Temperature Discovery Search
Temperature Discovery Search (TDS) is a forward search method for computing or approximating the temperature of a combinatorial game. Temperature and mean are important concepts i...
Yeqin Zhang, Martin Müller 0003