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AAAI
2007
13 years 7 months ago
Clustering with Local and Global Regularization
Clustering is an old research topic in data mining and machine learning communities. Most of the traditional clustering methods can be categorized local or global ones. In this pa...
Fei Wang, Changshui Zhang, Tao Li
AAAI
2007
13 years 7 months ago
Improving Similarity Measures for Short Segments of Text
In this paper we improve previous work on measuring the similarity of short segments of text in two ways. First, we introduce a Web-relevance similarity measure and demonstrate it...
Wen-tau Yih, Christopher Meek
AAAI
2007
13 years 7 months ago
Learning Voting Trees
Binary voting trees provide a succinct representation for a large and prominent class of voting rules. In this paper, we investigate the PAC-learnability of this class of rules. W...
Ariel D. Procaccia, Aviv Zohar, Yoni Peleg, Jeffre...
AAAI
2007
13 years 7 months ago
An Interactive Constraint-Based Approach to Sudoku
Christopher G. Reeson, Kai-Chen Huang, Kenneth M. ...
AAAI
2007
13 years 7 months ago
A Method for Large-Scale l1-Regularized Logistic Regression
Kwangmoo Koh, Seung-Jean Kim, Stephen P. Boyd
AAAI
2007
13 years 7 months ago
Scalable Semantic Retrieval through Summarization and Refinement
Julian Dolby, Achille Fokoue, Aditya Kalyanpur, Aa...
AAAI
2007
13 years 7 months ago
Logical Generative Models for Probabilistic Reasoning about Existence, Roles and Identity
In probabilistic reasoning, the problems of existence and identity are important to many different queries; for example, the probability that something that fits some description...
David Poole
AAAI
2007
13 years 7 months ago
Coordinating Hundreds of Cooperative, Autonomous Vehicles in Warehouses
The Kiva warehouse management system creates a new paradigm for pick-pack-and-ship warehouses that significantly improves worker productivity. The Kiva system uses movable storag...
Peter R. Wurman, Raffaello D'Andrea, Mick Mountz
AAAI
2007
13 years 7 months ago
The Impact of Time on the Accuracy of Sentiment Classifiers Created from a Web Log Corpus
We investigate the impact of time on the predictability of sentiment classification research for models created from web logs. We show that sentiment classifiers are time dependen...
Kathleen T. Durant, Michael D. Smith
AAAI
2007
13 years 7 months ago
Uncertainty in Preference Elicitation and Aggregation
Uncertainty arises in preference aggregation in several ways. There may, for example, be uncertainty in the votes or the voting rule. Such uncertainty can introduce computational ...
Toby Walsh