Sciweavers

AAAI
2015
8 years 8 months ago
Shift-Pessimistic Active Learning Using Robust Bias-Aware Prediction
Existing approaches to active learning are generally optimistic about their certainty with respect to data shift between labeled and unlabeled data. They assume that unknown datap...
Anqi Liu, Lev Reyzin, Brian D. Ziebart
AAAI
2015
8 years 8 months ago
Learning Partial Lexicographic Preference Trees over Combinatorial Domains
We introduce partial lexicographic preference trees (PLPtrees) as a formalism for compact representations of preferences over combinatorial domains. Our main results concern the p...
Xudong Liu, Miroslaw Truszczynski
AAAI
2015
8 years 8 months ago
Robustness in Probabilistic Temporal Planning
Flexibility in agent scheduling increases the resilience of temporal plans in the face of new constraints. However, current metrics of flexibility ignore domain knowledge about h...
Jeb Brooks, Emilia Reed, Alexander Gruver, James C...
AAAI
2015
8 years 8 months ago
Learning Plausible Inferences from Semantic Web Knowledge by Combining Analogical Generalization with Structured Logistic Regres
Fast and efficient learning over large bodies of commonsense knowledge is a key requirement for cognitive systems. Semantic web knowledge bases provide an important new resource o...
Chen Liang, Kenneth D. Forbus
AAAI
2015
8 years 8 months ago
Time-Sensitive Opinion Mining for Prediction
Users commonly use Web 2.0 platforms to post their opinions and their predictions about future events (e.g., the movement of a stock). Therefore, opinion mining can be used as a t...
Wenting Tu, David Wai-Lok Cheung, Nikos Mamoulis
AAAI
2015
8 years 8 months ago
A Reduction of the Elastic Net to Support Vector Machines with an Application to GPU Computing
Algorithmic reductions are one of the corner stones of theoretical computer science. Surprisingly, to-date, they have only played a limited role in machine learning. In this paper...
Quan Zhou, Wenlin Chen, Shiji Song, Jacob R. Gardn...
AAAI
2015
8 years 8 months ago
Multi-Objective MDPs with Conditional Lexicographic Reward Preferences
Sequential decision problems that involve multiple objectives are prevalent. Consider for example a driver of a semiautonomous car who may want to optimize competing objectives su...
Kyle Hollins Wray, Shlomo Zilberstein, Abdel-Illah...
AAAI
2015
8 years 8 months ago
An Association Network for Computing Semantic Relatedness
To judge how much a pair of words (or texts) are semantically related is a cognitive process. However, previous algorithms for computing semantic relatedness are largely based on ...
Keyang Zhang, Kenny Q. Zhu, Seung-won Hwang
AAAI
2015
8 years 8 months ago
A Sequence Labeling Approach to Deriving Word Variants
This paper describes a learning-based approach for automatic derivation of word variant forms by the suffixation process. We employ the sequence labeling technique, which entails...
Jennifer D'Souza
AAAI
2015
8 years 8 months ago
Algorithm Selection via Ranking
The abundance of algorithms developed to solve different problems has given rise to an important research question: How do we choose the best algorithm for a given problem? Known ...
Richard Jayadi Oentaryo, Stephanus Daniel Handoko,...