This paper gives an overview of discriminative training as it pertains to the speech recognition problem. The basic theory of discriminative training will be discussed and an explanation of maximum mutual information (MMI) given. Common problems inherent to discriminative training will be explored as well as practicalities associated with implementing discriminative training for large vocabular...

The most popular type of input method in Japan is kana-kanji conversion, conversion from a string of kana to a mixed kanjikana string. However there is no study using discriminative methods like structured SVMs for kana-kanji conversion. One of the reasons is that learning a discriminative model from a large data set is often intractable. However, due to progress of recent researches, large sca...

We propose a general framework for discriminative Bayesian nonparametric clustering to promote the inter-discrimination among the learned clusters in a fully Bayesian nonparametric (BNP) manner. Our method combines existing BNP clustering and discriminative models by enforcing latent cluster indices to be consistent with the predicted labels resulted from probabilistic discriminative model. Thi...

A two-lever, food-motivated, operant technique was employed to train the purportedly serotonergically dysfunctional Fawn-Hooded (FH) rat to discriminate 1.5 mg/kg MDMA. Once all 10 male subjects learned the MDMA-vehicle discrimination at criterion performance level, doses different than the training dose were used to generate a dose-response discrimination gradient. The ED50 value of MDMA was s...

BACKGROUND To establish the prognostic and discriminative value of the pro-atrial natriuretic peptide (pro-ANP) level in patients with severe sepsis or septic shock. PATIENTS AND METHODS An observational and prospective study was conducted on 50 critically ill patients with severe sepsis or septic shock. Measurements of the level of procalcitonin (PCT) and mid-regional pro-ANP were determined...

BACKGROUND Polycystic ovarian disease is one of the most common causes of infertility in women of reproductive age. Anti- mullerian hormone (AMH), a member of transforming growth factor (TGF) family which is secreted by granulosa cells of growing follicle, is found to be increased to three to four fold in Poly Cystic Ovarian Syndrome (PCOS) patients as evidenced by previous studies. But the lev...

In speech recognition, discriminative training has proved to be an effective method to improve recognition accuracy. It has successfully improved systems of different scales and different languages. While discriminative training has been developing for over 20 years, it continues to draw attention to researchers and remains to be one of the most important topics in speech recognition to date. D...

Content-based medical image retrieval (CBMIR) is an active research area for disease diagnosis and treatment but it can be problematic given the small visual variations between anatomical structures. We propose a retrieval method based on a bag-of-visual-words (BoVW) to identify discriminative characteristics between different medical images with Pruned Dictionary based on Latent Semantic Topic...

Approaches to audio classification and retrieval tasks largely rely on detectionbased discriminative models. We submit that such models make a simplistic assumption in mapping acoustics directly to semantics, whereas the actual process is likely more complex. We present a generative model that maps acoustics in a hierarchical manner to increasingly higher-level semantics. Our model has two laye...

We present a content-based method for recommending citations in an academic paper draft. We embed a given query document into a vector space, then use its nearest neighbors as candidates, and rerank the candidates using a discriminative model trained to distinguish between observed and unobserved citations. Unlike previous work, our method does not require metadata such as author names which ca...