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COLT
2010
Springer
13 years 8 months ago
Toward Learning Gaussian Mixtures with Arbitrary Separation
In recent years analysis of complexity of learning Gaussian mixture models from sampled data has received significant attention in computational machine learning and theory commun...
Mikhail Belkin, Kaushik Sinha
ICML
2004
IEEE
14 years 11 months ago
Learning first-order rules from data with multiple parts: applications on mining chemical compound data
Inductive learning of first-order theory based on examples has serious bottleneck in the enormous hypothesis search space needed, making existing learning approaches perform poorl...
Cholwich Nattee, Sukree Sinthupinyo, Masayuki Numa...
IJCAI
2007
13 years 11 months ago
Parametric Kernels for Sequence Data Analysis
A key challenge in applying kernel-based methods for discriminative learning is to identify a suitable kernel given a problem domain. Many methods instead transform the input data...
Young-In Shin, Donald S. Fussell
ICASSP
2011
IEEE
13 years 1 months ago
Perceptual differentiation modeling explains phoneme mispronunciation by non-native speakers
One of the difficulties in second language (L2) learning is the weakness in discriminating between acoustic diversity within an L2 phoneme category and between different categori...
Christos Koniaris, Olov Engwall
DEXA
2004
Springer
172views Database» more  DEXA 2004»
14 years 3 months ago
On the Automation of Similarity Information Maintenance in Flexible Query Answering Systems
This paper proposes a method for automatic maintaining the similarity information for a particular class of Flexible Query Answering Systems (FQAS). The paper describes the three m...
Balázs Csanád Csáji, Josef K&...