Sökning: "maximum entropy learning"

Hittade 3 avhandlingar innehållade orden maximum entropy learning.

1. 1. Data-driven syntactic analysis

   Författare :Beata Megyesi; KTH; []
   Nyckelord :natural language processing; machine learning; data-driven methods; part-of-speech tagging; chunking; shallow parsing; evaluation; hidden Markov modeling; maximum entropy learning; memory-based learning; transformation-based learning; morphology; syn;

   Sammanfattning : .... LÄS MER

3. 2. Competitive Learning in Robust Communication

   Författare :Petter Knagenhjelm; Chalmers tekniska högskola; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY;

   Sammanfattning : A modern communication system should be accurate, reliable, robust and make efficient use of the available channel. Vector quantization is beginning to prove its effectiveness for source coding in applications such as cellular mobile telephony. The design of vector quantizers is typically done by clustering methods. LÄS MER

4. 3. From Sequence to Structure : Using predicted residue contacts to facilitate template-free protein structure prediction

   Författare :Mirco Michel; Arne Elofsson; Erik Lindahl; Johannes Söding; Stockholms universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; protein bioinformatics; protein structure prediction; contact prediction; machine learning; Biochemistry towards Bioinformatics; biokemi med inriktning mot bioinformatik;

   Sammanfattning : Despite the fundamental role of experimental protein structure determination, computational methods are of essential importance to bridge the ever growing gap between available protein sequence and structure data. Common structure prediction methods rely on experimental data, which is not available for about half of the known protein families. LÄS MER