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AAAI
2015
8 years 6 months ago
Topical Word Embeddings
Most word embedding models typically represent each word using a single vector, which makes these models indiscriminative for ubiquitous homonymy and polysemy. In order to enhance...
Yang Liu, Zhiyuan Liu, Tat-Seng Chua, Maosong Sun
AAAI
2015
8 years 6 months ago
Spatio-Spectral Exploration Combining In Situ and Remote Measurements
Adaptive exploration uses active learning principles to improve the efficiency of autonomous robotic surveys. This work considers an important and understudied aspect of autonomo...
David Ray Thompson, David Wettergreen, Greydon T. ...
AAAI
2015
8 years 6 months ago
Pathway Graphical Lasso
Graphical models provide a rich framework for summarizing the dependencies among variables. The graphical lasso approach attempts to learn the structure of a Gaussian graphical mo...
Maxim Grechkin, Maryam Fazel, Daniela M. Witten, S...
AAAI
2015
8 years 6 months ago
An Entorhinal-Hippocampal Model for Simultaneous Cognitive Map Building
Hippocampal place cells and entorhinal grid cells have been hypothesized to be able to form map-like spatial representation of the environment, namely cognitive map. In most prior...
Miaolong Yuan, Bo Tian, Vui Ann Shim, Huajin Tang,...
AAAI
2015
8 years 6 months ago
A Faster Core Constraint Generation Algorithm for Combinatorial Auctions
Computing prices in core-selecting combinatorial auctions is a computationally hard problem. Auctions with many bids can only be solved using a recently proposed core constraint g...
Benedikt Bünz, Sven Seuken, Benjamin Lubin
AAAI
2015
8 years 6 months ago
Visualization Techniques for Topic Model Checking
Topic models remain a black box both for modelers and for end users in many respects. From the modelers’ perspective, many decisions must be made which lack clear rationales and...
Jaimie Murdock, Colin Allen
AAAI
2015
8 years 6 months ago
Hierarchical Monte-Carlo Planning
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 ...
Ngo Anh Vien, Marc Toussaint
AAAI
2015
8 years 6 months ago
Inertial Hidden Markov Models: Modeling Change in Multivariate Time Series
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...
George D. Montanez, Saeed Amizadeh, Nikolay Laptev
AAAI
2015
8 years 6 months ago
On Unconstrained Quasi-Submodular Function Optimization
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...
Jincheng Mei, Kang Zhao, Bao-Liang Lu
AAAI
2015
8 years 6 months ago
Exploiting Submodular Value Functions for Faster Dynamic Sensor Selection
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...
Yash Satsangi, Shimon Whiteson, Frans A. Oliehoek