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» Evaluating machine creativity
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105
Voted
ACL
1998
15 years 1 months ago
Trainable, Scalable Summarization Using Robust NLP and Machine Learning
We describe a trainable and scalable summarization system which utilizes features derived from information retrieval, information extraction, and NLP techniques and on-line resour...
Chinatsu Aone, Mary Ellen Okurowski, James Gorlins...
90
Voted
NIPS
1998
15 years 1 months ago
Using Analytic QP and Sparseness to Speed Training of Support Vector Machines
Training a Support Vector Machine (SVM) requires the solution of a very large quadratic programming (QP) problem. This paper proposes an algorithm for training SVMs: Sequential Mi...
John C. Platt
105
Voted
NIPS
2000
15 years 1 months ago
Incremental and Decremental Support Vector Machine Learning
An on-line recursive algorithm for training support vector machines, one vector at a time, is presented. Adiabatic increments retain the KuhnTucker conditions on all previously se...
Gert Cauwenberghs, Tomaso Poggio
107
Voted
COR
2010
121views more  COR 2010»
15 years 21 days ago
Parallel machine scheduling with precedence constraints and setup times
This paper presents different methods for solving parallel machine scheduling problems with precedence constraints and setup times between the jobs. Limited discrepancy search met...
Bernat Gacias, Christian Artigues, Pierre Lopez
INTETAIN
2005
Springer
15 years 6 months ago
Grounding Emotions in Human-Machine Conversational Systems
In this paper we investigate the role of user emotions in human-machine goal-oriented conversations. There has been a growing interest in predicting emotions from acted and non-act...
Giuseppe Riccardi, Dilek Z. Hakkani-Tür