Sciweavers

AAAI
2015
8 years 8 months ago
Proximal Operators for Multi-Agent Path Planning
We address the problem of planning collision-free paths for multiple agents using optimization methods known as proximal algorithms. Recently this approach was explored in Bento e...
José Bento, Nate Derbinsky, Charles Mathy, ...
AAAI
2015
8 years 8 months ago
Initializing Bayesian Hyperparameter Optimization via Meta-Learning
Model selection and hyperparameter optimization is crucial in applying machine learning to a novel dataset. Recently, a subcommunity of machine learning has focused on solving thi...
Matthias Feurer, Jost Tobias Springenberg, Frank H...
AAAI
2015
8 years 8 months ago
Representation Discovery for MDPs Using Bisimulation Metrics
We provide a novel, flexible, iterative refinement algorithm to automatically construct an approximate statespace representation for Markov Decision Processes (MDPs). Our approa...
Sherry Shanshan Ruan, Gheorghe Comanici, Prakash P...
AAAI
2015
8 years 8 months ago
Sub-Merge: Diving Down to the Attribute-Value Level in Statistical Schema Matching
Matching and merging data from conflicting sources is the bread and butter of data integration, which drives search verticals, e-commerce comparison sites and cyber intelligence....
Zhe Lim, Benjamin I. P. Rubinstein
AAAI
2015
8 years 8 months ago
Incorporating Assortativity and Degree Dependence into Scalable Network Models
Due to the recent availability of large complex networks, considerable analysis has focused on understanding and characterizing the properties of these networks. Scalable generati...
Stephen Mussmann, John Moore, Joseph John Pfeiffer...
AAAI
2015
8 years 8 months ago
Multivariate Conditional Anomaly Detection and Its Clinical Application
This paper overviews the background, goals, past achievements and future directions of our research that aims to build a multivariate conditional anomaly detection framework for t...
Charmgil Hong, Milos Hauskrecht
AAAI
2015
8 years 8 months ago
Local Context Sparse Coding
The n-gram model has been widely used to capture the local ordering of words, yet its exploding feature space often causes an estimation issue. This paper presents local context s...
Seungyeon Kim, Joonseok Lee, Guy Lebanon, Haesun P...
AAAI
2015
8 years 8 months ago
Providing Arguments in Discussions Based on the Prediction of Human Argumentative Behavior
Argumentative discussion is a highly demanding task. In order to help people in such situations, this paper provides an innovative methodology for developing an agent that can sup...
Ariel Rosenfeld, Sarit Kraus
AAAI
2015
8 years 8 months ago
Compress and Control
This paper describes a new information-theoretic policy evaluation technique for reinforcement learning. This technique converts any compression or density model into a correspond...
Joel Veness, Marc G. Bellemare, Marcus Hutter, Alv...