Education project topics

Get Complete Project Material File(s) Now! » Worst-case complexity Time complexity From an algorithmic point of view, one would be interested in finding an algo-rithm that solves a CSP (i.e. solves all its possible instances) in a reasonable amount of...

Get Complete Project Material File(s) Now! » From GMM to Concentration though GAN The starting point to obtain the results of the previous section and more fundamentally to analyze the behavior of ML algorithms is to design so-called deterministic equivalents...

Get Complete Project Material File(s) Now! » Workshop of “Modeling pronunciation variation for ASR” Strik and Cucchiarini reviewed the workshop in [1998] and also gave an overview of the literature on modeling pronunciation variation for ASR in [Strik and Cucchiarini,...

Get Complete Project Material File(s) Now! » Confusability: an ASR error analysis Work on pronunciation modeling for automatic speech recognition systems has had mixed results in the past; one likely reason for poor performance is the increased confusability in the...

Get Complete Project Material File(s) Now! » Asymmetric One-to-Many Methods A first family of word alignment models recasts the problem as a sequence labeling task.Each target2 word ej is labeled with a source position i ∈ N. We denote such...

Get Complete Project Material File(s) Now! » Theoretical challenges Classical machine learning systems not only suffer from time and memory constraints, their theoretical foundation is also shaken. Most supervised learning systems rely on the assumption that the training examples are...

Get Complete Project Material File(s) Now! » A brief history about the terminology “word embedding” The roots of word embeddings can be traced back to the 1950s when the distributional hypothesis, of which the underlying idea is that “a word...

Get Complete Project Material File(s) Now! » The computational bottleneck The main limitation of neural networks language models is their expensive computational cost. This was already pointed out by Bengio et al. (2003). Schwenk and Gauvain (2004) provide, for the...

Get Complete Project Material File(s) Now! » Improving the classifiers: from the averaged perceptron to Stack-LSTMs Since Collins and Roark (2004), the main classifier used to predict transitions in parsing has been the averaged multi-class perceptron. The multi-class perceptron is...