Sciweavers

AAAI
2015
8 years 1 months ago
Optimal Estimation of Multivariate ARMA Models
Autoregressive moving average (ARMA) models are a fundamental tool in time series analysis that offer intuitive modeling capability and efficient predictors. Unfortunately, the l...
Martha White, Junfeng Wen, Michael Bowling, Dale S...
AAAI
2015
8 years 1 months ago
From Classical to Consistent Query Answering under Existential Rules
Querying inconsistent ontologies is an intriguing new problem that gave rise to a flourishing research activity in the description logic (DL) community. The computational complexi...
Thomas Lukasiewicz, Maria Vanina Martinez, Andreas...
AAAI
2015
8 years 1 months ago
Improving Multi-Step Prediction of Learned Time Series Models
Most typical statistical and machine learning approaches to time series modeling optimize a singlestep prediction error. In multiple-step simulation, the learned model is iterativ...
Arun Venkatraman, Martial Hebert, J. Andrew Bagnel...
AAAI
2015
8 years 1 months ago
A Goal-Based Model of Personality for Planning-Based Narrative Generation
We present an approach to incorporate interesting and compelling characters in planning-based narrative generation. The approach is based on a computational model that utilizes ch...
Julio César Bahamón, Camille Barot, ...
AAAI
2015
8 years 1 months ago
A Logic for Reasoning About Game Strategies
Dongmo Zhang, Michael Thielscher
AAAI
2015
8 years 1 months ago
Parallel Gaussian Process Regression for Big Data: Low-Rank Representation Meets Markov Approximation
The expressive power of a Gaussian process (GP) model comes at a cost of poor scalability in the data size. To improve its scalability, this paper presents a low-rank-cum-Markov a...
Kian Hsiang Low, Jiangbo Yu, Jie Chen, Patrick Jai...
AAAI
2015
8 years 1 months ago
Doubly Robust Covariate Shift Correction
Covariate shift correction allows one to perform inference even when the distribution of the covariates on the training set does not match those on the test set. This is achieved ...
Sashank Jakkam Reddi, Barnabás Póczo...
AAAI
2015
8 years 1 months ago
Solving Uncertain MDPs with Objectives that Are Separable over Instantiations of Model Uncertainty
Markov Decision Problems, MDPs offer an effective mechanism for planning under uncertainty. However, due to unavoidable uncertainty over models, it is difficult to obtain an exac...
Yossiri Adulyasak, Pradeep Varakantham, Asrar Ahme...
AAAI
2015
8 years 1 months ago
The Pricing War Continues: On Competitive Multi-Item Pricing
We study a game with strategic vendors (the agents) who own multiple items and a single buyer with a submodular valuation function. The goal of the vendors is to maximize their re...
Omer Lev, Joel Oren, Craig Boutilier, Jeffrey S. R...
AAAI
2015
8 years 1 months ago
Obtaining Well Calibrated Probabilities Using Bayesian Binning
Learning probabilistic predictive models that are well calibrated is critical for many prediction and decision-making tasks in artificial intelligence. In this paper we present a...
Mahdi Pakdaman Naeini, Gregory F. Cooper, Milos Ha...