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We present a feed-forward network architecture for recognizing an unconstrained handwritten multi-digit string. This is an extension of previous work on recognizing isolated digits. In this architecture a single digit recognizer is replicated over the input. The output layer of the network is coupled to a Viterbi alignment module that chooses the best(More)
We study the classiication ability of majority-vote ensembles of classiiers. A majority ensemble classiies a pattern by letting each member of the ensemble cast a single vote for the correct class and decides according to a simple majority or a special majority vote. We give upper and lower bounds on the classiication performance of a majority ensemble as a(More)
A model for on-site learning is presented. The system learns by querying \hard" patterns while classifying \easy" ones. This model is related to query-based ltering methods, but takes into account that in addition to labelling, ltering through the data has a cost. A few simple policies are introduced and analyzed for a simple problem (1D high low game). In(More)
The staff scheduling problem is a critical problem in the call center (or more generally, customer contact center) industry. This paper describes Director, a staff scheduling system for contact centers, Director is a constraint-based system that uses AI search techniques to generate schedules that satisfy and optimize a wide range of constraints and service(More)
A neural network algorithm-based system that reads handwritten ZIP codes appearing on real US mail is described. The system uses a recognition-based segmenter, that is a hybrid of connected-components analysis (CCA), vertical cuts, and a neural network recognizer. Connected components that are single digits are handled by CCA. CCs that are combined or(More)
30 AI MAGAZINE ■ The staff scheduling problem is a critical problem in the call center (or, more generally, customer contact center) industry. This article describes DIRECTOR, a staff scheduling system for contact centers. DIRECTOR is a constraint-based system that uses AI search techniques to generate schedules that satisfy and optimize a wide range of(More)
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