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LREC
2008
139views Education» more  LREC 2008»
15 years 5 months ago
Automatic Learning and Evaluation of User-Centered Objective Functions for Dialogue System Optimisation
The ultimate goal when building dialogue systems is to satisfy the needs of real users, but quality assurance for dialogue strategies is a non-trivial problem. The applied evaluat...
Verena Rieser, Oliver Lemon
134
Voted
SDL
2007
152views Hardware» more  SDL 2007»
15 years 5 months ago
TTCN-3 Quality Engineering: Using Learning Techniques to Evaluate Metric Sets
Software metrics are an essential means to assess software quality. For the assessment of software quality, typically sets of complementing metrics are used since individual metric...
Edith Werner, Jens Grabowski, Helmut Neukirchen, N...
113
Voted
NIPS
2003
15 years 5 months ago
Learning the k in k-means
When clustering a dataset, the right number k of clusters to use is often not obvious, and choosing k automatically is a hard algorithmic problem. In this paper we present an impr...
Greg Hamerly, Charles Elkan
121
Voted
COLING
2000
15 years 5 months ago
Automatic Semantic Sequence Extraction from Unrestricted Non-Tagged Texts
Mophological processing, syntactic parsing and other useflfl tools have been proposed in the field of natural language processing(NLP). Many of those NLP tools take dictionary-bas...
Shiho Nobesawa, Hiroaki Saito, Masakazu Nakanishi
152
Voted
ICASSP
2010
IEEE
15 years 4 months ago
Semi-Supervised Fisher Linear Discriminant (SFLD)
Supervised learning uses a training set of labeled examples to compute a classifier which is a mapping from feature vectors to class labels. The success of a learning algorithm i...
Seda Remus, Carlo Tomasi