AAAI
2015
8 years 1 months ago
2015
Monte-Carlo Tree Search, especially UCT and its POMDP version POMCP, have demonstrated excellent performance on many problems. However, to efficiently scale to large domains one ...
AAAI
2015
8 years 1 months ago
2015
Faced with the problem of characterizing systematic changes in multivariate time series in an unsupervised manner, we derive and test two methods of regularizing hidden Markov mod...
AAAI
2015
8 years 1 months ago
2015
With the extensive application of submodularity, its generalizations are constantly being proposed. However, most of them are tailored for special problems. In this paper, we focu...
AAAI
2015
8 years 1 months ago
2015
A key challenge in the design of multi-sensor systems is the efficient allocation of scarce resources such as bandwidth, CPU cycles, and energy, leading to the dynamic sensor sel...
AAAI
2015
8 years 1 months ago
2015
Mass digitization of historical documents is a challenging problem for optical character recognition (OCR) tools. Issues include noisy backgrounds and faded text due to aging, bor...
AAAI
2015
8 years 1 months ago
2015
Data-driven analytics—in areas ranging from consumer marketing to public policy—often allow behavior prediction at the level of individuals rather than population segments, of...
AAAI
2015
8 years 1 months ago
2015
Tractable classes constitute an important issue in Artificial Intelligence to define new islands of tractability for reasoning or problem solving. In the area of constraint netw...
AAAI
2015
8 years 1 months ago
2015
Modern society is critically dependent on the services provided by engineered infrastructure networks. When natural disasters (e.g. Hurricane Sandy) occur, the ability of these ne...
AAAI
2015
8 years 1 months ago
2015
A fundamental task in reasoning about action and change is projection, which refers to determining what holds after a number of actions have occurred. A powerful method for solvin...
AAAI
2015
8 years 1 months ago
2015
As Machine Learning (ML) applications embrace greater data size and model complexity, practitioners turn to distributed clusters to satisfy the increased computational and memory ...