Baz? olaylar?n olmadan önce olma zaman?n?n tahmin edilebilmesine yönelik çal??malar uzun y?llard?r devam etmektedir. Böylelikle olay ortaya ç?kt???nda meydana gelecek zarar? minimuma indirmek veya elde edilecek fayday? maksimum yapmak amaçlan?r. Bir mü?terinin sonraki davran???n?n tahmini, do?al afetlerin belirli bir zaman aral???nda talep say?s?n?n tahmini gibi çok farkl? alanlarda tahminine g...

Irrigation, salinity and nitrogen (N) are the three major limiting environmental factors inmaize yield potentials especially in arid and semi-arid regions. An integrated water and N MaizeSimulation Model (MSM) was modified for salinity conditions using 2009-2010 fieldexperiments data in southwest of Iran. Irrigation levels were: I1=1.0ETc+0.25ETc as normalleaching amount, I2=0.75I1 and I3=0.5I1...

Language models (LMs) are statistical models that calculate probabilities over sequences of words or other discrete symbols. Currently two major paradigms for language modeling exist: count-based n-gram models, which have advantages of scalability and test-time speed, and neural LMs, which often achieve superior modeling performance. We demonstrate how both varieties of models can be unified in...

The statistical models used for dialogue systems need annotated data (dialogues) to infer their statistical parameters. Dialogues are usually annotated in terms of Dialogue Acts (DA). The annotation problem can be attacked with statistical models, that avoid annotating the dialogues from scratch. Most previous works on automatic statistical annotation assume that the dialogue turns are segmente...

We present a discriminatively trained dependency parserbased language model. The model operates on utterances, rather than words, and so can utilize long-distance structural features of each sentence. We train the model discriminatively on n-best lists, using the perceptron algorithm to tune the model weights. Our features include standard n-gram style features, long-distance co-occurrence feat...

This communication introduces a stochastic machine translation system based on Ngram modelling of the joint probability of bilingual texts. The basic unit of this model is called a tuple and consists of a pair of both source (to be translated) language and target language (translation) word-strings. Translation is driven by a log-linear combination of the N-gram model probability and other feat...

This paper presents a novel computational model of jazz improvisation based on n-gram language models. Recent functional neuroimaging studies suggest that the brain processes structural elements of improvised music and conversational language in a similar manner. We hypothesized that if musical improvisation and language share a common cognitive and neurological foundation, then statistical tec...